WO2006102811A1 - A method and an apparatus for eliminating the narrow-band interference in the spread spectrum system - Google Patents

A method and an apparatus for eliminating the narrow-band interference in the spread spectrum system Download PDF

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Publication number
WO2006102811A1
WO2006102811A1 PCT/CN2005/002008 CN2005002008W WO2006102811A1 WO 2006102811 A1 WO2006102811 A1 WO 2006102811A1 CN 2005002008 W CN2005002008 W CN 2005002008W WO 2006102811 A1 WO2006102811 A1 WO 2006102811A1
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unit
energy
value
data
output
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PCT/CN2005/002008
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English (en)
French (fr)
Inventor
Meng Zhao
Guanghui Yu
Yanwei Wu
Liujun Hu
Jiying Xiang
Zhijian Wang
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ZTE Corp
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ZTE Corp
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Priority to EP05813777A priority Critical patent/EP1865639A4/en
Publication of WO2006102811A1 publication Critical patent/WO2006102811A1/zh
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Priority to NO20075089A priority patent/NO20075089L/no
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H04B1/71—Interference-related aspects the interference being narrowband interference
    • H04B1/7102—Interference-related aspects the interference being narrowband interference with transform to frequency domain

Definitions

  • the present invention relates to interference cancellation in wireless communication systems, and more particularly to methods and apparatus for narrowband interference cancellation in spread spectrum communication systems.
  • PN modulation can reduce interference from other users as well as wireless signals.
  • the interference is a narrowband signal
  • the interference signal spreads over the entire frequency band to reduce the interference. Therefore, the spread spectrum signal can weaken the narrowband interference to a certain extent.
  • a typical spectrum of a spread spectrum signal (eg, spread by a PN sequence) is submerged in noise, as shown in Figure 1.
  • the ideal signal refers to the signal energy actually transmitted by the mobile station, and the noise refers to those additive interferences. Obviously, the ideal signal energy for spread spectrum is generally less than the noise energy.
  • Typical interference refers to signals sent by low-power sources, such as amateur radios. Processing gains indicate that mobile stations can transmit signals. Tolerant interference signal level. The extended signal can also be recovered when it is affected by typical interference, but the signal can no longer be recovered when strong interference occurs. And even with typical interference, although the signal can be recovered, the system performance will be degraded.
  • the frequency band is swept to protect the CDMA signal from the narrowband signal, but some burst signals are not easily disabled due to their burst characteristics. Therefore, narrowband interference will be disordered and random.
  • Narrowband interference can increase the congestion rate and dropped call rate of the code division multiple access (CDMA) system, overload the RF power control system, increase the power consumption of the mobile station, and reduce the coverage of the base station. In extreme cases, high-power interference can even block the entire cell, making normal communication impossible. Therefore, a good solution must be found to eliminate the influence of narrowband interference signals on the code division multiple access signal so that the communication quality is guaranteed.
  • CDMA code division multiple access
  • Methods for handling narrowband interference can generally be divided into two categories:
  • This method is generally implemented by acoustic surface technology. Some estimates of the frequency of the interfering signal are made. Based on the estimation result, a narrow-band notch device is placed where the interfering signal is present (the phase-locked loop can also be used to track the interfering signal).
  • analog technology itself has its limitations and is often not flexible enough.
  • the other type is the frequency domain elimination method, which is usually implemented through digital processing. After the signal is digitized, it is transformed into the frequency domain by Fourier transform, and the data is processed in the frequency domain and then transformed into the time domain output by inverse Fourier transform.
  • the method of processing interference signals in the frequency domain can be summarized into two types. One is to use filters to filter out the effects of interference on the frequency domain data. This method is suitable for situations where interference bandwidth and location are known. This method has certain limitations when the location of the interference in the frequency domain, the interference bandwidth, and the number cannot be clearly determined. Because designing filters that are fully adaptive to change has certain difficulties.
  • the other is to calculate the amplitude of the signal at each frequency and then compare it to the threshold to set the signal above the threshold to zero or to the noise level. The method can adaptively handle multiple interferences, and process different interference bandwidths and interference frequency changes.
  • this method requires threshold calculation and comparison for each data sample during processing. It is necessary to continuously perform spectrum estimation and limit the power spectrum to a certain range. For high-speed broadband system data. The demand for computing is relatively large. There are certain difficulties in real-time implementation of hardware. Moreover, the method also has a Fourier transform and an inverse transform on the data when no narrowband signal is detected, which is a waste of system resources. In addition, the threshold setting method in the method is susceptible to narrow-band interference, and the threshold is not stable enough to cause misjudgment. Summary of the invention
  • the technical problem to be solved by the present invention is to provide a method and apparatus for narrowband interference cancellation in a spread spectrum communication system, which can reduce the amount of calculation and the requirement for real-time hardware.
  • the present invention provides a method for eliminating narrowband interference in a spread spectrum system, comprising the following steps:
  • the interference cancellation process includes the following steps:
  • the above method may further have the following features: the step (a) further stores the extracted N-point digital signal, and, in the interference cancellation processing, before performing the step (b,), determining the previous one. Whether the time segment records the identification information of the point where the energy accumulation value is greater than the threshold value, and if yes, performs step (b,); otherwise, during this time period, the sample stored in step (a) is selected each time. The obtained N-point digital signal is output as result data, and ends.
  • the above method may further have the following features:
  • the minimum value is found from the N energy accumulated values, and then multiplied by a coefficient greater than 1. After that as the threshold.
  • the above method may further have the following features: in the step (c), the minimum value of the energy accumulated values is averaged according to the accumulated time period to obtain a minimum energy value; in the step (b,) , the data energy value corresponding to the point recorded in the previous time period is reduced to the minimum energy value recorded in the previous time period.
  • the threshold value is 2.0 to 4.0 times the minimum value of the energy accumulation values.
  • the above method may further have the following feature: the set accumulation time period is 60 ⁇
  • the above method may further have the following features: the N value is selected according to the identification accuracy requirement for narrowband interference, and should be at least greater than the data sampling rate of the system divided by the narrowband interference to be resolved. The value obtained by the bandwidth.
  • the above method may also have the following features:
  • the spectrum is transformed into a fast Fourier transform, a cosine transform or a wavelet transform.
  • the present invention further provides an apparatus for eliminating narrowband interference in a spread spectrum system, comprising: a spectrum transform unit, an interference canceling unit, and an inverse spectrum transform unit connected in sequence, and connected to the spectrum transform
  • the interference cancellation control unit of the unit and the interference cancellation unit wherein:
  • the spectrum transforming unit is configured to perform a spectral transform operation on the N-point digital signal input from the outside, and output the obtained N-point data to the interference cancellation unit and the interference cancellation control unit;
  • the interference cancellation control unit is configured to In each set accumulation time period, the energy accumulation values of the spectrally transformed N sample points are respectively calculated, and a threshold value is calculated according to the N energy accumulation values, and the N energy accumulation values are Comparing the threshold values, recording identification information of points where the energy accumulation value is greater than the threshold value;
  • the interference cancellation unit is configured to adjust the energy value of the spectrum transformation result data of the points in the current time period according to the identification information of the point where the energy accumulation value of the previous time period is greater than the threshold value recorded by the interference cancellation control unit And below the noise level, and then output to the inverse spectral transform unit; the inverse spectral transform unit is configured to perform inverse spectral transform on the input data and output the result.
  • the above apparatus may further have the following features: further comprising a data storage unit and a selection unit connected to each other, the selection unit being further connected to the inverse spectrum transform unit and the interference cancellation control unit, wherein:
  • the data storage unit is configured to store an N-point digital signal input from the outside, and output the signal to the selection unit;
  • the interference cancellation control unit When the interference cancellation control unit has a point where the energy accumulation value is greater than the threshold value, the interference cancellation control unit outputs an indication signal having a narrowband interference to the selection unit as the selection unit selects the data output in the next time period. in accordance with;
  • the selecting unit is configured to: when receiving the indication signal with the presence of the narrowband interference, select the data output from the inverse spectral transform unit, otherwise directly output the data stored by the data storage unit.
  • the interference cancellation control unit includes:
  • N energy calculation units respectively receive N complex signals output by the spectrum transform unit and 'calculate their energy values, and then output to N accumulation units respectively;
  • N accumulating units are respectively connected to the N energy calculating units, and are used to accumulate the energy values calculated each time in the accumulating time period to obtain N energy accumulating values;
  • the accumulating count control output unit is connected to the N accumulating units, and is configured to output the N energy accumulating values when the current accumulating number reaches an accumulating count value corresponding to an accumulating time period, and simultaneously accumulate the N
  • the unit performs a clear operation
  • a threshold value calculation unit connected to the accumulated count control output unit, configured to calculate a threshold value according to the N energy accumulated values
  • a comparison unit connected to the threshold value calculation unit and the accumulation count control output unit, for comparing the N energy accumulation values with the threshold value, and identifying the point where the output energy accumulation value is greater than the threshold value Information
  • a recording unit connected to the comparison unit, configured to save when the comparison unit outputs the identification information of the point where the energy accumulation value is greater than the threshold value, when there is no output energy accumulation value greater than the threshold value in the current time period , clear the saved information.
  • the threshold value calculation unit further includes:
  • a minimum value unit connected to the accumulated count control output unit, configured to receive the N energy accumulated values and select a minimum value output thereof;
  • a multiplier is coupled to the minimum unit for multiplying the minimum value by a factor greater than one and outputting as the threshold value.
  • the interference cancellation control unit further includes a time averaging unit connected to the minimum value unit and the interference cancellation unit, configured to divide the minimum value of the energy accumulation result by the accumulation In the time period, a minimum energy value is obtained; when the energy value of the spectral transformation result data is adjusted, the interference cancellation unit adjusts the energy value to the minimum energy value.
  • the above device may further have the following feature: the multiplier sets a coefficient of 2 to 4. Further, the above device may further have the following feature: the accumulated count value set by the accumulated count control output unit corresponds to an accumulation time of 60 to 120 ms.
  • the present invention utilizes the estimated power spectrum over a period of time to perform a narrowband interference decision, and records the location where the narrowband interference occurs.
  • the processing of the real-time data is limited only to the data at the location of the narrowband interference obtained according to the previous time period, and the calculation is performed. The amount is significantly reduced.
  • the threshold calculation and comparison operations are performed once in a while, and there is no need to operate on each piece of data, which greatly reduces the hardware requirements for real-time processing. Compared with the prior art, as long as the accumulated time length is selected correctly, satisfactory performance can be obtained while greatly reducing the real-time calculation amount of hardware.
  • the present invention is directed to the elimination of narrowband interference in a spread spectrum communication system, transforming a signal into a frequency domain, estimating a power spectrum by averaging a plurality of periodograms over a period of time, and then using the obtained power spectrum to calculate narrowband interference.
  • the threshold is judged and the effect of large power values is excluded.
  • the thresholds thus obtained are very stable and can be adaptively adapted to various situations to prevent misjudgment.
  • the present invention can be further designed with a selection unit that can block the execution of a module with a large amount of computation, such as an IFFT transform unit, when no narrowband interference is found, thereby further reducing the occupation of hardware resources.
  • a selection unit that can block the execution of a module with a large amount of computation, such as an IFFT transform unit, when no narrowband interference is found, thereby further reducing the occupation of hardware resources.
  • the invention is simple in calculation, has obvious effect on suppressing narrowband interference, can be realized in real time by hardware, and reduces hardware requirements.
  • Figure 1 is a schematic diagram of the spectral energy of a general spread spectrum signal.
  • FIG. 2 is a block diagram showing the structure of an apparatus in accordance with an embodiment of the present invention.
  • Figure 3 is a schematic illustration of the interference cancellation control unit of Figure 2.
  • Figure 2 is a block diagram showing the structure of an apparatus of an embodiment of the present invention.
  • the apparatus of this embodiment includes a radio frequency converter 100, a digital quantizer 110, and The interference cancellation device 120.
  • the signal is received by the RF converter 100, then sampled by the digital quantizer 110 into a digital signal, and an N-point digital signal is input to the interference canceling means 120 each time for FFT operation.
  • the number of points taken N is related to the minimum identifiable narrowband interference bandwidth.
  • the spread spectrum signal bandwidth is 1.2288 MHz
  • the data sampling rate is 2 x 1.2288 MHz.
  • To resolve the narrowband interference of 30 kHz, at least 2 1.2288 ⁇ 10 6 /(30 ⁇ 10 3 ) 81.92 points, that is, 128-point FFT.
  • N 256 was used in the above example.
  • the interference cancellation device 120 includes the following units:
  • the data storage unit 130 is configured to store the digital signal input from the digital quantizer 110 and output it to the selection unit 170.
  • the FFT conversion unit 140 is configured to perform an N-point FFT operation on the digital signal input from the digital quantizer 110, and input the calculated N-point data into the interference cancellation unit 150 and the interference cancellation control unit 180.
  • the interference cancellation control unit 180 is configured to calculate energy accumulation values of the N sampling points in each accumulated time period and compare them with a threshold value related to the minimum value of the energy accumulated values, respectively, and record the accumulated energy value is greater than
  • the identification information of the point of the threshold such as position information or identification information
  • the new minimum energy value ie, the energy value after time averaging the minimum value of the energy accumulated value
  • the accumulated count control output unit 183 is configured to determine whether the current accumulated number of times reaches the set tired The count value is incremented (i.e., whether the accumulation of data on an accumulation period has been performed), and if the accumulated count value is reached, the N accumulation results are output to the minimum value unit 184 and the comparison unit 187, while the accumulation unit 82 is executed. Clear the operation.
  • the minimum value unit 184 is used to find the minimum value of the N accumulated results and output to the multiplier 185 and the time averaging unit 189.
  • the multiplier 185 is configured to multiply the minimum value of the accumulated result by a multiple as a threshold value, and output it to the comparing unit 187.
  • the comparing unit 187 is configured to compare the N accumulated results with the threshold value, and put the identification information of the point where the energy accumulated value is greater than the threshold value into the recording unit 188.
  • the recording unit 188 is configured to save when the comparison unit 187 outputs the identification information of the point where the energy accumulation value is greater than the threshold value, and output the indication signal of the narrowband interference to the selection unit 170 and clear the values of the other positions. When there is no point where the energy accumulation value is greater than the threshold value during this time period, the position corresponding to all points is cleared to zero.
  • the time averaging unit 1 8 9 is configured to divide the minimum value of the energy accumulation result by the set accumulated count to obtain the minimum energy value, and output it to the interference cancellation unit 150. This is because the interference cancellation unit 150 is involved in a single set of data processing, and therefore the time averaging unit 189 is required to time average the minimum value of the accumulated results in one accumulated time period output from the minimum value unit 184.
  • the present invention Since the identification information of the point where the energy accumulation value is larger than the threshold value and the corresponding minimum energy value are updated in each accumulation period of the present invention, it can be adaptively changed as the surrounding conditions change. At the same time, the present invention utilizes the estimated power spectrum over a period of time to make a narrowband interference decision, and the amount of data is significantly reduced. Moreover, the threshold calculation, the minimum update operation, and the comparison operation are performed once every other time, which greatly reduces the hardware requirements for real-time processing.
  • the interference cancellation unit 150 is configured to adjust the energy value of the FFT result data of the points in the current time period to the previous time period according to the identification information of the point where the energy accumulation value of the previous time period is greater than the threshold value output by the recording unit 188.
  • the obtained minimum energy value is then output to the IFFT transform unit 160, and when the recording unit 188 does not have any identification information output, no adjustment is made.
  • the IFFT transform unit 160 is configured to perform inverse fast Fourier transform on the input data, and input the result to the selecting unit 170.
  • the selecting unit 170 is configured to select a data output, and if the indication that there is no narrowband interference is received, the data from the data storage unit 130 is directly output, otherwise, the data output from the IFFT transform unit 160 is selected.
  • the selection unit 170 directly outputs the data stored by the data storage unit 130 without performing the interference cancellation unit 150 and the IFFT conversion unit 160.
  • the operation further reduces the hardware operation and saves hardware overhead.
  • the method for eliminating narrowband interference in the spread spectrum system in this embodiment includes the following steps:
  • Step 1 In each set time period, N points are taken out from the digital signal obtained by sampling the received data, and are fast-Fourier Transform (FFT), and N is determined by the minimum distinguishable interference bandwidth. ;
  • FFT fast-Fourier Transform
  • Step 2 Find the square of the data of the data after each N-point fast Fourier transform, that is, the energy of the data, so that the periodogram of the data segment is obtained, and the periodogram is an estimate of the power spectrum, in the power spectrum.
  • the normal wideband signal is submerged in the noise, and the narrowband interference is higher because the energy is concentrated at certain frequencies;
  • the processing after step 2 is divided into two parallel processes, one is the update of the identification information of the point where the energy accumulation value is greater than the threshold value, and the update of the minimum energy value, that is, the processing of the information update, as the data of the next time period.
  • the other is to perform interference cancellation processing, that is, interference cancellation processing, on the data of the current period based on the identification information of the point recorded in the previous period and the minimum energy value.
  • Step 3 accumulating the energy values of the currently calculated N-point data with the energy values already calculated at each point in the current time period;
  • the duration of the accumulation period should ensure that the power spectrum obtained during the accumulation period is stable. Fixed, not too short; at the same time should be guaranteed in iJ
  • the change makes the power spectrum estimation result reflect the change of the narrowband interference on the spread spectrum signal in time, so the accumulation time is not too long.
  • the duration of narrowband interference is in the order of seconds, so the accumulated time period can take 60 ⁇ 120ms, which does not greatly affect the system's ability to respond to narrowband interference.
  • about 106.7 ms is selected as the accumulated length of time. The simulation results show that selecting this length does not affect the ability of the system to eliminate narrowband interference and obtain a relatively stable power spectrum estimation result.
  • any value of 60ms, 120ms or intermediate may be selected.
  • Step 4 determining whether the accumulated number of times of energy of each point has reached the set accumulated count, and if yes, performing step five, otherwise returning to step one;
  • the accumulated count is equal to the product of the accumulated time divided by the number of points N of the fast Fourier transform and the data sampling interval.
  • the number of FFT points is 256
  • the data sampling rate is 2x 1.2288 MHz
  • the accumulated count is 106 ' 7 * 103 1024 .
  • Accumulative counting or accumulating time is determined according to the performance requirements that the system hopes to achieve. For example, if you want the system to be stable, the accumulated counting or accumulating time is higher. If you want the system to react faster to external disturbances, Select a lower accumulated count or accumulate time.
  • Step 5 Find a minimum value of one energy accumulation result in a time period
  • the average value is not taken but the minimum value is taken because the power spectrum is already stable and there is no too low value.
  • the mean value is greatly affected by the amount of narrowband interference and the change in intensity.
  • the minimum value is only required for some comparison operations, and the calculation amount is small.
  • Step 6 Multiply the minimum value by a multiple to obtain a judgment threshold, and compare the accumulated result with the threshold. If the accumulated result is greater than the threshold, perform step 7; otherwise, perform step 8 ;
  • the multiple value can be in the range of 2.0 4.0.
  • Step 7 recording the identification information of the point where the energy accumulation value obtained in the current period is greater than the threshold value and the minimum energy value, for use in the next time period, and clearing the values of other positions at the same time;
  • step 8 the values of all the positions are cleared, that is, the identification information of any points is not recorded.
  • step two the interference cancellation process includes the following steps:
  • Step 3 Determine whether the identification information of the point where the accumulated energy value is greater than the threshold value is recorded in the previous time period, and if yes, perform step 4, otherwise perform step 5;
  • Step 4 Adjust the data energy value corresponding to the point recorded in the previous time period to the minimum energy value recorded in the previous time period for each of the N data outputted after the fast Fourier transform in the current time period, and then The adjusted data is subjected to inverse fast Fourier transform and output as result data*
  • step 5 during this time period, the N-point digital signal obtained after the previously stored sampling is selected as the result data output, and the process ends.
  • the invention has been implemented in the cdma-20001x reverse link simulation. After simulation, it is proved that the influence of multiple narrowband interferences on different systems at different times can be effectively attenuated, so that the CDMA congestion rate and the dropped call rate are significantly reduced. The power consumption of the mobile station is reduced.
  • the present invention can also be modified on the basis of the above embodiments.
  • the calculation method of the threshold value is not limited to adopting the minimum value.
  • the energy accumulation value of the N point may also be removed from the maximum energy value, or the maximum and minimum energy values may be removed.
  • when adjusting the data energy of the spectrally transformed point it is not limited to being adjusted to the minimum energy value in the embodiment, and it is only necessary to adjust to the noise level or less.
  • the data storage unit 130 and the selection unit 170 may not be used, so that the calculation is most large, but the hardware structure is simpler.
  • the FFT transform and the IFFT transform are only one type of spectral transform.
  • other methods of spectral transform such as cosine transform, wavelet transform, and the like may also be employed.
  • the present invention can be applied to a spread spectrum communication system, and the obtained threshold value of narrowband interference is very Stable and adaptive to meet various situations to prevent misjudgment, while at the same time achieving satisfactory performance while greatly reducing the amount of hardware real-time calculations.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
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Description

扩频系统中消除窄带干扰的方法和装 £
技术领域
本发明涉及无线通讯系统中的干扰消除，尤其涉及扩频通讯系统中窄带 干扰消除的方法和装置。
背景技术
扩展频谱通信系统在当今世界越来越普遍。 扩展频谱或者伪随机码
( PN )调制可以减少其它用户以及无线信号的干扰。 当干扰是窄带信号时， 在接收信号和 PN序列的互相关过程中， 干扰信号会扩展到整个频带上从而 减弱干扰的 响。 因此扩频信号在一定程度上可以削弱窄带干扰。
一个扩频信号（例如： 由 PN序列进行扩频） 的典型频谱是淹没在噪声 中的， 如图 1所示。 理想信号是指移动台实际发送的信号能量， 噪声就是指 那些加性干扰。 显然扩频的理想信号能量一般是小于噪声能量的。 "强干扰，， 一般指阻塞信号或者由电视、 无线台或者附近通信设备发出的信号， "典型 干扰"是指那些由低功率源发出的信号， 例如业余无线电。 处理增益表示移 动台扩展信号可容忍的干扰信号级别。扩展信号受到典型干扰的影响时还可 以进行恢复， 但是当强干扰出现时信号根本就无法再恢复了。 而且即使是典 型干扰， 虽然可以恢复信号但是系统性能也会下降。
在采用 CDMA通信系统前，都会对频带进行扫频以保护 CDMA信号不 受窄带信号的干扰， 但是一些突发信号由于其突发特性不容易完全被禁止。 因此窄带干扰会呈现无序性和随机性。 窄带干扰会使得码分多址（CDMA ) 系统拥塞率和掉话率升高、 射频功控系统的过载、 增加移动台功率消耗、 减 少基站覆盖范围。 在极端的情况下， 高功率的干扰甚至会阻塞整个小区， 使 得正常的通信无法进行。因此必须找到一个好的解决方法消除窄带干扰信号 对码分多址信号的影响从而使得通信质量得到保证。
处理窄带干扰方法通常可以分为两类：
一类是让信号（通常是进行模拟处理）通过一个窄带陷波器或者陷波器 组。该方法一般都是通过声表面类的技术来实现的。对干扰信号的频率作一 些估计， 根据估计结果， 在有干扰信号的地方放置窄带陷波装置（锁相环也 可以用来跟踪干扰信号）。 但是模拟技术本身有其局限性， 而且往往都不够 灵活。
另外一类是频域消除方法， 一般都是通过数字处理过程实现的。信号经 过数字化以后通过傅立叶变换变换到频域，在频域对数据进行处理后再通过 逆傅立叶变换变换到时域输出。 在频域处理干扰信号方法可以归结为两种， 一种是在频域数据上使用滤波器滤除干扰的影响。该种方法适用于已知干扰 带宽和位置的情形。 当干扰在频域的位置、干扰带宽以及个数不能够明确确 定时， 该方法就会有一定的局限性。 因为设计完全自适应变化的滤波器有一 定的困难。 另一种是计算每个频率上信号幅度， 然后和门限值比较， 将超过 门限值的信号置 0 或者降到噪声水平上去。 该方法可以自适应的对多个干 扰， 对不同干扰带宽以及干扰频率变化进行处理。
但是， 该方法在处理时要对每个数据样点进行门限值计算和比较， 需要. 不停的进行频谱估计并将功率谱限制在一定范围内，对于速率很高的宽带系 统数据来讲， 运算量的需求比较大。 在硬件的实时实现上有一定的困难。 并 且， 该方法在没有检测到窄带信号时也要对数据傅利叶变换和反变换， 对系 统资源是一种浪费。 此外， 在该方法中的门限值设定方法容易受到窄带干扰 的影响， 其门限值不够稳定， 容易产生误判。 发明内容
本发明要解决的技术问题是提供一种扩频通讯系统中窄带干扰消除的 方法和装置， 能够减少计算量和对硬件实时性的要求。
为了解决上述技术问题，本发明提供了一种扩频系统中消除窄带干扰的 方法， 包括以下步骤：
( a )在每个设定的累加时间段内， 逐次从对接收数据采样得到的数字 信号中取出 N个采样点进行频谱变换；
然后同时执行信息更新处理和干扰消除处理，其中信息更新处理过程包 括以下步骤：
( b )在设定的累加时间段内， 分别计算出 N个采样点频谱变换后的数 据的能量累加值， 根据这 N个能量累加值得到一个门限值；
( c ) 比较所述 N个能量累加值和所述门限值， 记录能量累加值大于该 门限值的点的识别信息；
干扰消除处理过程包括以下步骤：
( b， )对本时间段内每次进行频谱变换后输出的 N个数据， 根据上一时 间段记录的点的识别信息找到对应的点，将这些点的数据的能量值降至噪声 水平以下， 然后对调整后的数据进行逆频谱变换， 作为结果数据输出。
进一步地， 上述方法还可具有以下特点： 所述步骤（a ) 中还存储取出 的 N点数字信号， 并且， 在干扰消除处理过程中， 执行所述步骤（b，）之前， 先判断上一时间段是否记录有能量累加值大于所述门限值的点的识别信息， 如果有， 执行步骤 （b，） ， 否则在本时间段内， 每次均选择步骤 （a ) 中存 储的采样后得到的 N点数字信号作为结果数据输出 , 结束。
进一步地， 上述方法还可具有以下特点： 所述步骤（c ) 中， 计算所述 门限值时， 是从所述 N个能量累加值中找出最小值， 再乘以一个大于 1 的 系数后作为所述门限值。
进一步地， 上述方法还可具有以下特点： 所述步骤 （c ) 中， 还对能量 累加值中的最小值按所述累加时间段进行平均， 得到最小能量值； 所述步骤 ( b，）中， 是将对应于上一时间段记录的所述点的数据能量值降为上一时间 段记录的该最小能量值。
进一步地， 上述方法还可具有以下特点： 所述门限值取值为所述能量累 加值中最小值的 2.0 ~ 4.0倍。
进一步地，上述方法还可具有以下特点：所述设定的累加时间段为 60 ~
120mS o
进一步地， 上述方法还可具有以下特点： 所述 N值根据对窄带干扰的 辨识精度要求选取，至少应大于系统的数据采样率除以要分辨的窄带干扰的 带宽所得到的值。
进一步地， 上述方法还可具有以下特点： 所述频谱变换为快速傅立叶变 换、 余弦变换或小波变换。
为了解决上述问题，本发明又提供了一种扩频系统中消除窄带干扰的装 置， 其特征在于， 包括依次相连的频谱变换单元、 干扰消除单元和逆频谱变 换单元， 以及连接到所述频谱变换单元和干扰消除单元的干扰消除控制单 元， 其中：
所述频谱变换单元， 用于对从外部输入的 N点数字信号进行频谱变换 运算， 将得到的 N点数据输出到所述干扰消除单元和干扰消除控制单元； 所述干扰消除控制单元， 用于在每一个设定的累加时间段内， 分别计算 N个采样点数据频谱变换后的能量累加值， 并根据所述 N个能量累加值计 算一个门限值， 将该 N个能量累加值与所述门限值相比较， 记录能量累加 值大于该门限值的点的识别信息；
所述干扰消除单元，用于根据所述干扰消除控制单元记录的上一时间段 能量累加值大于门限值的点的识别信息，将本时间段内这些点的频谱变换结 果数据的能量值调整至噪声水平以下， 然后输出到所述逆频谱变换单元； 所述逆频谱变换单元， 用于对输入数据进行逆频谱变换并输出结果。 进一步地， 上述装置还可具有以下特点： 还包括相互连接的数据存储单 元和选择单元，所述选择单元还与所述逆频谱变换单元和干扰消除控制单元 相连， 其中：
所述数据存储单元， 用于存储从外部输入的 N点数字信号， 并输出给 所述选择单元；
所述干扰消除控制单元在本时间段存在能量累加值大于门限值的点时， 向所述选择单元输出存在窄带千扰的指示信号，作为所述选择单元在下一时 间段选择数据输出时的依据；
所述选择单元， 用于在收到存在窄带干扰的指示信号时， 选择来自逆频 谱变换单元的数据输出， 否则直接输出所述数据存储单元存储的数据。 进一步地， 上述装置还可具有以下特点： 所述干扰消除控制单元包括：
N个能量计算单元，分别接收所述频谱变换单元输出的 N个复数信号并 '计算其能量值， 然后分别输出到 N个累加单元；
N个累加单元，与所述 N个能量计算单元分别相连，用于在所述累加时 间段内将每次计算得到的能量值分别累加， 得到 N个能量累加值；
累加计数控制输出单元， 与所述 N个累加单元相连， 用于在当前累加 次数达到一个累加时间段对应的累加计数值时， 将所述 N个能量累加值输 出， 同时对所述 N个累加单元执行清零操作；
门限值计算单元， 与所述累加计数控制输出单元相连， 用于根据所述 N 个能量累加值计算得到一个门限值；
比较单元， 与所述门限值计算单元和累加计数控制输出单元相连， 用于 将所述 N个能量累加值和所述门限值进行比较， 输出能量累加值大于门限 值的点的识别信息；
记录单元， 与所述比较单元相连， 用于在所述比较单元输出能量累加值 大于门限值的点的识别信息时加以保存，当本时间段没有输出能量累加值大 于门限值的点时， 将所保存的信息清零。
进一步地， 上述装置还可具有以下特点： 所述门限值计算单元进一步包 括 ··
最小值单元， 与所述累加计数控制输出单元相连， 用于接收所述 N个 能量累加值并选择其中的最小值输出；
乘法器， 与所述最小值单元相连， 用于将该最小值乘以一个大于 1的系 数后作为所述门限值输出。 .
进一步地， 上述装置还可具有以下特点： 所述干扰消除控制单元还包括 一个时间平均单元， 与所述最小值单元和干扰消除单元相连， 用于将能量累 加结果的最小值除以所述累加时间段，得到最小能量值； 所述干扰消除单元 在对频谱变换结果数据的能量值进行调整时，是将其能量值调整为该最小能 量值。 进一步地，上述装置还可具有以下特点：所述乘法器设定的系数为 2〜4。 进一步地， 上述装置还可具有以下特点： 所述累加计数控制输出单元设 定的累加计数值对应于 60~120ms的累加时间。
可以看出， 本发明利用一段时间内估计的功率谱进行窄带干扰判决， 记 录窄带干扰出现的位置，对实时数据的处理仅局限在根据上个时间段得到的 窄带干扰所在位置上的数据， 计算量明显减少。 而且门限值计算和比较运算 是每隔一段时间才进行一次， 不需要对每段数据都进行操作， 大大减少了硬 件对实时处理的要求。 和现有技术相比， 只要累加时间长度选择正确， 可以 在得到满意的性能同时大大减少硬件实时的计算量。
此外， 本发明针对扩频通信系统中的窄带干扰的消除， 将信号变换到频 域， 通过对一段时间内多个周期图求平均进行功率谱的估计， 然后利用得到 的功率谱来计算窄带干扰的判断门限值并排除大的功率值的影响。这样得到 的门限值十分稳定而且还可以自适应满足各种情况防止误判的发生。
此外， 本发明还可进一步设计有选择单元， 当发现没有窄带干扰存在时 可以屏蔽计算量较大模块的执行， 如 IFFT变换单元， 从而进一步减少了对 硬件资源的占用。 总之， 本发明计算简单， 对窄带干扰抑制作用明显， 能够 利用硬件实时实现， 减少了对硬件的要求。
附图概述
图 1是一般扩频信号频谱能量示意图。
图 2是本发明实施例的装置结构的方框图。
图 3是图 2中的干扰消除控制单元的示意图。
本发明的最佳实施方式
下面结合附图和实施例对本发明做进一步的详细说明。图 2是本发明实 施例装置结构的方框图。
如图 2所示， 本实施例的装置包括射频转换器 100、 数字量化器 110和 干扰消除装置 120。 在上述装置中， 信号经过射频转换器 100接收， 然后通 过数字量化器 1 10进行采样变成数字信号， 每次取 N点数字信号输入到干 扰消除装置 120， 以便进行 FFT运算。 所取点数 N和最小能辨识的窄带干 扰带宽有关。在本发明的一个实例中扩频信号带宽为 1.2288MHz,数据采样 率为 2x 1.2288MHz , 为 了分辨 30kHz 的窄带干扰， 至少要采用 2 1.2288χ 106/(30χ 103)=81.92点， 也就是 128点的 FFT。 显然 FFT的点数越 多对窄带干扰分辨能力越强， 但硬件实现的计算量也越大， 可以根据自己的 系统和要求对窄带干扰的辨识精度实际选取 N值。 在上述实例中采用了 N = 256。
其中， 干扰消除装置 120包括以下单元：
数据存储单元 130， 用于存储从数字量化器 1 10输入的数字信号， 并输 出给选择单元 170。
FFT变换单元 140， 用于将从数字量化器 1 10输入的数字信号进行 N点 的 FFT运算， 并把运算得到的 N点数据输入到干扰消除单元 150和干扰消 除控制单元 180中。
干扰消除控制单元 180， 用于在每一个累加的时间段内， 计算 N个采样 点的能量累加值并分别和一个与能量累加值中最小值相关的门限值相比较， 记录能量累加值大于该门限值的点的识别信息（如位置信息或标识信息）和 新的最小能量值（即对能量累加值中最小值进行时间平均后的能量值）， 并 输出是否有窄带千扰的指示信号。 如图 3所示， 该干扰消除控制单元 180进 一步包括：
. N个能量计算单元 181A,〜181AN，分别接收 FFT变换单元 140输出的 N 个复数信号， 计算 N个复数信号模的平方， 并把结果分别输出给 N个累加 单元 l SSAi-l SSA^
N个累加单元 182ΑΓ182ΑΝ,用于在一个累加时间段内将 Ν个能量计算 单元每次计算得到的能量值分别累加。
累加计数控制输出单元 183， 用于判断当前累加次数是否达到设定的累 加计数值（即是否已进行了一个累加时间段上数据的累加）， 如果达到所述 累加计数值， 则把 N个累加结果输出给最小值单元 184和比较单元 187， 同 时对累加单元 82执行清零操作。 最小值单元 184， 用于找到 N个累加结果的最小值并输出给乘法器 185 和时间平均单元 189。
乘法器 185， 用于将累加结果的最小值乘上一个倍数作为门限值， 输出 给比较单元 187。
比较单元 187， 用于将所述 N个累加结果和所述门限值进行比较， 并将 能量累加值大于门限值的点的识别信息放入记录单元 188。
记录单元 188， 用于在所述比较单元 187输出能量累加值大于门限值的 点的识别信息时加以保存，向选择单元 170输出存在窄带干扰的指示信号并 将其它位置的值清零， 当本时间段没有能量累加值大于门限值的点时， 将所 有点对应的位置清零。
时间平均单元 189， 用于将能量累加结果的最小值除以设定的累加计数 得到最小能量值， 输出给千扰消除单元 150。 这是因为干扰消除单元 150涉 及的是单组的数据处理，因此需要该时间平均单元 189对最小值单元 184输 出的一个累加时间段内的累加结果的最小值进行时间平均。
由于本发明每一个累加时间段内都会对能量累加值大于门限值的点的 识别信息和相应的最小能量值进行更新，从而可以自适应的随着周围情况变 化而变化。 同时， 本发明利用一段时间内估计的功率谱进行窄带干扰判决， 数据， 计算量明显减少。 而且门限值计算、 最小值更新运算和比较运算是每 隔一段时间才进行一次， 大大减少了硬件对实时处理的要求。
干扰消除单元 150， 用于根据记录单元 188输出的上一时间段能量累加 值大于门限值的点的识别信息， 将本时间段内这些点的 FFT结果数据的能 量值调整为上一时间段得到的最小能量值， 然后输出到 IFFT变换单元 160 中， 当记录单元 188没有任何识别信息输出时， 就不进行调整。 IFFT变换单元 160， 用于对输入数据进行逆快速傅立叶变换， 并把结果 输入选择单元 170。
选择单元 170， 用于选择数据输出， 如果收到没有窄带干扰的指示， 则 直接输出来自数据存储单元 130的数据，否则，选择来自 IFFT变换单元 160 的数据输出。
在本发明实施例中，如果干扰消除单元 180中记录单元 188没有指示有 任何识别信息，则选择单元 170会直接输出数据存储单元 130存储的数据而 不再进行干扰消除单元 150和 IFFT变换单元 160的操作， 从而进一步减少 了硬件的操作， 节省硬件开销。
基于以上装置， 本实施例消除扩频系统中窄带干扰的方法包括以下步 骤：
步骤一， 在每个设定的时间段内， 逐次从对接收数据采样得到的数字信 号中取出 N点进行存储， 并对其进行快速傅立叶变换（FFT ) , N由最小可 分辨的干扰带宽决定；
步骤二， 求取每次的 N点快速傅立叶变换后数据的模的平方， 也就是 数据的能量， 这样就得到了该数据段的周期图， 周期图是功率谱的一个估计 量， 在功率谱中正常的宽带信号是淹没在噪声中的， 而窄带干扰由于能量集 中在某些频点上所以其功率就会较高；
步骤二之后的处理分为两个并行的过程，一个是对能量累加值大于门限 值的点的识别信息的更新和最小能量值的更新， 即信息更新的处理， 作为下 一时间段对数据进行干扰消除处理的依据。另一个是根据上一时间段记录的 点的识别信息和最小能量值对本时间段的数据进行干扰消除处理，即干扰消 除的处理。 下面先介绍信息更新的处理流程：
步骤三， 将当前计算出的 N点数据的能量值分别与本时间段内各点已 经算出的能量值累加；
累加使得估计结果可以更好逼近实际的功率谱从而反应更真实的数据 特性。累加时间段的时长一方面应该保证累加时间段内得到的功率谱已经稳 定， 不能太短； 同时又应该保证在 iJ
变化，使功率谱估计结果能够及时反映出扩频信号上窄带干扰的变化， 所以 累加时间也不易过长。 一般的， 窄带干扰的持续时间为秒级， 因此累加的时 间段可取 60 ~ 120ms，该取值并不会使系统对窄带干扰的反应能力造成很大 的影响。 在本发明的一个实例中， 选择约 106.7ms作为累加的时间长度， 仿 真结果说明选择这个长度既不影响系统消除窄带干扰的能力又可以获得比 较稳定的功率谱估计结果。 在其它实例中， 可以选取 60ms， 120ms或者中间 的任意数值。
步骤四， 判断对各点能量的累加次数是否已经达到设定的累加计数， 如 果是， 执行步骤五， 否则返回步骤一；
累加计数等于累加时间除以快速傅立叶变换的点数 N和数据采样间隔 的乘积。在本发明一个实例中， FFT点数为 256,数据采样率为 2x 1.2288MHz, 每个采样点持续时间为 丄 oo = 0.4069 , 累加计数就是 106'7*103 1024。
2*1.2288 256 * 0.4069 累加计数或者累加时间是根据系统希望达到的性能要求来确定的， 例如， 如 果希望系统稳定， 累加计数或者累加时间就高一些， 如果希望系统对外界干 扰的反应快一些， 就选取低一些的累加计数或者累加时间。
步骤五， 求取一个时间段内 Ν个能量累加结果中的最小值；
没有取均值而是取最小值， 是由于此时功率谱已经比较稳定， 不会出现 过低的值。 而均值却会随着窄带干扰的数量以及强度的变化受到很大的影 响。 另外求最小值只需要一些比较运算， 计算量较小。
步骤六， 将上述最小值乘以一个倍数得到一个判断门限值， 将 Ν个累 加结果和该门限值进行比较， 如果有累加结果大于该门限值， 执行步骤七， 否则， 执行步骤八；
为了不使有用的信号被判决为千扰而受到影响，倍数的选取会影响最终 系统的性能， 经过仿真， 倍数一般取值范围可在 2.0 4.0。
步骤七，记录本时间段得到的能量累加值大于所述门限值的点的识别信 息以及最小能量值， 供下一时间段使用， 同时将其它位置的值清零；
步骤八， 将所有位置的值清零， 即不记录任何点的识别信息。 同时， 在步骤二之后， 干扰消除的处理过程包括以下步骤：
步骤三，， 判断上一时间段是否记录有累加能量值大于门限值的点的识 别信息， 如果有， 执行步骤四，， 否则执行步骤五，；
步骤四，， 对本时间段内每次进行快速傅立叶变换后输出的 N个数据， 将其中对应于上一时间段记录的点的数据能量值调整为上一时间段记录的 最小能量值， 然后对调整后的数据进行逆快速傅立叶变换， 作为结果数据输 出 *
步骤五，， 在本时间段内， 每次均选择先前存储的采样后得到的 N点数 字信号作为结果数据输出， 结束。
本发明已经在 cdma— 20001x反向链路仿真中实现，经过仿真，证实能够 有效地减弱多个窄带干扰在不同时刻不同频带位置对系统造成的影响，使得 CDMA拥塞率和掉话率明显降低， 减少了移动台的功率消耗。
本发明在上述实施例的基础上还可以做一些变换。
例如， 门限值的计算方式并不局限于采用最小值， 在另一实施例中， 也 可以将 N点的能量累加值去除掉最大的若干能量值， 或者去掉最大的和最 小的若干能量值后求平均得到的能量值， 或者其它的计算方式。 相应的， 对 频谱变换后的点的数据能量进行调整时，并不局限于调整为实施例中的最小 能量值， 只要调整到噪声水平以下就可以。
例如， 在另一实施例中， 数据存储单元 130和选择单元 170可以不要， 这样计算最会大一些， 但硬件结构更为简单。 例如， FFT变换和 IFFT变换仅是频谱变换的一种， 在另一实施例中， 还可以采用余弦变换， 小波变换等其它频谱变换的方法。
工业实用性 本发明可以应用于扩频通信系统中，得到的窄带干扰的判断门限值十分 稳定而且还可以自适应满足各种情况防止误判的发生，同时在得到满意的性 能同时大大减少硬件实时的计算量。

Claims

权 利 要 求 书
■ 1、 一种扩频系统中消除窄带干扰的方法， 包括以下步骤：
( a )在每个设定的累加时间段内， 逐次从对接收数据采样得到的数字 信号中取出 N个采样点进行频谱变换；
然后同时执行信息更新处理和干扰消除处理，其中信息更新处理过程包 括以下步骤：
( b )在设定的累加时间段内， 分别计算出 N个采样点频谱变换后数据 的能量累加值， 根据这 N个能量累加值得到一个门限值；
( c ) 比较所述 N个能量累加值和所述门限值， 记录能量累加值大于该 门限值的点的识别信息；
干扰消除处理过程包括以下步骤：
( b， )对本时间段内每次进行频谱变换后输出的 N个数据，根据上一时 间段记录的点的识别信息找到对应的点，将这些点的数据的能量值降至噪声 水平以下， 然后对调整后的数据进行逆频谱变换， 作为结果数据输出。
2、 如权利要求 1所述的方法， 其特征在于， 所述步骤（a ) 中还存储取 出的 N点数字信号， 并且， 在干扰消除处理过程中， 执行所述步骤（b，）之 前，先判断上一时间段是否记录有能量累加值大于所述门限值的点的识别信 息， 如果有， 执行步骤（b，） ， 杏则在本时间段内， 每次均选择步骤（a ) 中存储的采样后得到的 N点数字信号作为结果数据输出， 结束。
3、 如权利要求 1所述的方法， 其特征在于， 所述步骤（c ) 中， 计算所 述门限值时， 是从所述 N个能量累加值中找出最小值， 再乘以一个大于 1 的系数后作为所述门限值。
4、 如权利要求 3所述的方法， 其特征在于， 所述步骤（c ) 中， 还对能 量累加值中的最小值按所述累加时间段进行平均， 得到最小能量值； 所述步 骤（b，） 中， 是将对应于上一时间段记录的所述点的数据能量值降为上一时 间段记录的该最小能量值。
5、 如权利要求 3所述的方法， 其特征在于， 所述门限值取值为所述能 量累加值中最小值的 2.0 - 4.0倍。
6、 如权利要求 1所述的方法， 其特征在于， 所述设定的累加时间段为 60 ~ 120ms。
7、 如权利要求 1所述的方法， 其特征在于， 所述 N值根据对窄带干扰 的辨识精度要求选取，至少应大于系统的数据采样率除以要分辨的窄带干扰 的带宽所得到的值。
8、 如权利要求 1所述的方法， 其特征在于， 所述频谱变换为快速傅立 叶变换、 余弦变换或小波变换。
9、 一种扩频系统中消除窄带干扰的装置， 其特征在于， 包括依次相连 的频谱变换单元、 干扰消除单元和逆频谱变换单元， 以及连接到所述频谱变 换单元和干扰消除单元的干扰消除控制单元， 其中：
所述频谱变换单元， 用于对从外部输入的 N点数字信号进行频谱变换 运算， 将得到的 N点数据输出到所述干扰消除单元和干扰消除控制单元； 所述干扰消除控制单元， 用于在每一个设定的累加时间段内， 分别计算 N个采样点数据频谱变换后的能量累加值， 并根据所述 N个能量累加值计 算一个门限值， 将该 N个能量累加值与所述门限值相比较， 记录能量累加 值大于该门限值的点的识别信息；
所述干扰消除单元，用于根据所述干扰消除控制单元记录的上一时间段 能量累加值大于门限值的点的识别信息，将本时间段内这些点的频谱变换结 果数据的能量值调整至噪声水平以下， 然后输出到所述逆频谱变换单元； 所述逆频谱变换单元， 用于对输入数据进行逆频谱变换并输出结果。
10、 如权利要求 9所述的装置，其特征在于，还包括相互连接的数据存 储单元和选择单元，所述选择单元还与所述逆频谱变换单元和干扰消除控制 单元相连， 其中：
所述数据存储单元， 用于存储从外部输入的 N点数字信号， 并输出给 所述选择单元；
所述干扰消除控制单元在本时间段存在能量累加值大于门限值的点时， 向所述选择单元输出存在窄带干扰的指示信号，作为所述选择单元在下一时 间段选择数据输出时的依据；
所述选择单元， 用于在收到存在窄带干扰的指示信号时， 选择来自逆频 傳变换单元的数据输出， 否则直接输出所述数据存储单元存储的数据。
11、 如权利要求 9所述的装置，其特征在于， 所述干扰消除控制单元包 括：
N个能量计算单元，分别接收所述频谱变换单元输出的 N个复数信号并 计算其能量值， 然后分别输出到 N个累加单元；
N个累加单元， 与所述 N个能量计算单元分别相连，用于在所述累加时 间段内将每次计算得到的能量值分别累加， 得到 N个能量累加值；
累加计数控制输出单元， 与所述 N个累加单元相连， 用于在当前累加 次数达到一个累加时间段对应的累加计数值时， 将所述 N个能量累加值输 出， 同时对所述 N个累加单元执行清零操作；
门限值计算单元， 与所述累加计数控制输出单元相连， 用于根据所述 N 个能量累加值计算得到一个门限值；
比较单元， 与所述门限值计算单元和累加计数控制输出单元相连， 用于 将所述 N个能量累加值和所述门限值进行比较， 输出能量累加值大于门限 值的点的识别信息；
记录单元， 与所述比较单元相连， 用于在所述比较单元输出能量累加值 大于门限值的点的识别信息时加以保存，当本时间段没有输出能量累加值大 于门限值的点时， 将所保存的信息清零。
12、 如权利要求 9所述的装置，其特征在于， 所述门限值计算单元进一 步包括：
最小值单元， 与所述累加计数控制输出单元相连， 用于接收所述 N个 能量累加值并选择其中的最小值输出；
乘法器， 与所述最小值单元相连， 用于将该最小值乘以一个大于 1的系 数后作为所述门限值输出。
13、 如权利要求 12所迷的装置， 其特征在于， 所述干扰消除控制单元 还包括一个时间平均单元， 与所述最小值单元和干扰消除单元相连， 用于将 能量累加结果的最小值除以所述累加时间段，得到最小能量值； 所述干扰消 除单元在对频谱变换结果数据的能量值进行调整时，是将其能量值调整为该
14、 如权利要求 12所述的装置， 其特征在于， 所述乘法器设定的系数 为 2〜4。
15、 如权利要求 1 1所述的装置， 其特征在于， 所述累加计数控制输出 单元设定的累加计数值对应于 60~120ms的累加时间。
PCT/CN2005/002008 2005-03-29 2005-11-25 A method and an apparatus for eliminating the narrow-band interference in the spread spectrum system Ceased WO2006102811A1 (en)

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