The method of estimation of the signal quality of MSK and O-QPSK signal
Technical field
The efficient method of estimation that the present invention relates to the signal quality of a kind of MSK and O-QPSK signal, belongs to WLAN (wireless local area network) transmission technique field.
Background technology
MSK and O-QPSK modulation system are a kind of popular modulation schemes for radio communication, there is good power utilization and be convenient to modulation and demodulation characteristic and by more and more for wireless communication transmission plan.Zigbee is exactly a kind of Radio Transmission Technology that adopts in recent years this modulation technique.
ZigBee be one closely, low complex degree, low-power consumption, low data rate, two-way wireless communication technology cheaply.The basis of ZigBee is IEEE 802.15.4, and this is a standard of IEEE wireless personal local area network (Personal Area Network, PAN) working group, is known as IEEE 802.15.4 (ZigBee) technical standard.ZigBee alliance, in the time formulating ZigBee standard, has adopted IEEE802.15.4 as its physical layer and media Access Layer standard.On its basis, ZigBee alliance has formulated data link layer (DLL), network layer (NWK) and API (APl) standard, and the work of the aspect such as responsible higher layer applications, test and marketing.ZigBee technology will mainly be embedded in the equipment such as consumer electronics device, family and building automation equipment, industrial control device, computer peripheral equipment, medical energy converter, toy and game machine, support the application in the field such as control and automation based on radio communication among a small circle, also support geographic positioning functionality simultaneously.ZigBee has very wide application prospect.
The low complex degree of the device of ZigBee, low-power consumption, low cost feature is undoubtedly one of advantage that it can extensive use, but the characteristic of its low data rate two-way communication becomes again the key factor of his its development of restriction in the predictable following application obtaining, IEEE organizes and has also recognized this point, and in the standard of supplementary version thereafter, increase successively the modulation system (as the 2450MHz chirp spread spectrum PHY in IEEE 802.15.4a-2007) that improves data transfer rate as selectable supplementary, but there is very big-difference in newly-increased modulation system and before widely used modulation technique, therefore cannot accomplish effectively compatible standard before, thereby this has just brought being increased sharply with the response of power consumption of complexity and cost to increase its original advantage of sacrificing.How can improve the cost that its availability of frequency spectrum maintains existing complexity simultaneously and become a current communications field green science and technology focus receiving much concern of industry.
ZigBee physical layer sending/receiving, in the physical layer specification of IEEE 802.15.4-2006, half sine O-QPSK and 16-ary Orthogonal DSSS are combined into the modulation system using on 868/915/2450MHz.According to the length of DSSS frequency expansion sequence and the data rate of difference supporting respectively 100kb/s and 250kb/s of spreading rate that use.Take 2450MHz physical layer specification as example, IEEE 802.15.4-2006 has done following regulation to its modulation system: 2450MHz physical layer modulation and spread spectrum can be divided into following several step: 1) bit is to sign map (Bit-to-symbol mapping), and the data that last layer need to be transmitted are mapped as a symbol according to one group of every 4 bit; 2) symbol, to chip mapping (Symbol-to-chip mapping), is 16 chip sequences that length is 32bit by 16 possible sign map; 3) Q-QPSK modulation (O-QPSK modulation), is mapped to each chip sequence on I-phase and two orthogonal coordinates of Q-phase, the constellation point of the corresponding chip of every a pair of I/Q value, and Tc is chip period; 4) Half-sine moulding, why half sine O-QPSK and 16-ary Orthogonal DSSS can become a kind of leading modulation technique in ZigBee is because the feature of itself is applicable to the applied environment of ZigBee.Signal its track on complex plane that can find out Half sine O-QPSK strictly drops on unit circle, and this illustrates that its time domain signal envelope is constant.This characteristic is can not pass zero point due to the I of O-QPSK signal and Q component simultaneously, and this power utilization for radio-frequency (RF) power amplification helps, and has also reduced the requirement of the linearity to radio-frequency devices simultaneously, is equivalent to and has reduced implementation complexity.Make ZiBee use being designed to for possibility of simple low cost low-power consumption.The application of 16-ary Orthogonal DSSS has brought signal-to-noise performance gain more than 9dB, has positive effect for the multipath transmisstion impact in impact and the channel of noise and various interference in reduction channel and raising receiving sensitivity.
Summary of the invention
The object of the invention is to overcome the deficiency that prior art exists, a kind of method that MSK and O-QPSK signal are carried out to the estimation of quick high accuracy signal quality is provided.
Object of the present invention is achieved through the following technical solutions:
The method of estimation of the signal quality of MSK and O-QPSK signal, the estimation of the signal quality of the statistical nature based on chip to MSK and O-QPSK signal; The foundation of chip synchronization, the foundation of chip synchronization prior to the synchronous and frame of spreading code phase place synchronously; Under chip symbol synchronizing signal auxiliary to baseband signal carry out simple nonlinear operation and and linear averaging that operation result is simplified can obtain fast the high-resolution of current demand signal quality to estimate.
Further, the method of estimation of the signal quality of above-mentioned MSK and O-QPSK signal, enter radio-frequency module in the input MSK of receiver or O-QPSK radiofrequency signal and be transferred to zero intermediate frequency and become baseband signal, baseband signal is converted to digital sampled signal r (n) by analogue-to-digital converters after low pass filter; Under the control of symbol timing recovery module, digital sampled signal r (n) is converted into the signal rs (k) with character rate sampling, sampling instant corresponding to center that k is each symbol; The signal rs (k-1) in signal rs (k) and a upper moment was carried out to conjugate multiplication, and this product is got after real part computing and asked and thoroughly deserve s1 (k):
S1(k)?=?abs{real[rs(k)rs*(k-1)]}
Wherein, real () is for to get real part computing to plural number; Abs () is the computing that takes absolute value;
Then, s1 (k) is carried out to segmentation to be averaging, section length is decided to be to 2 integral number power, the result on average obtaining is the estimated result of signal quality, estimated value numerical value is larger, shows that signal quality is poorer, otherwise represents that signal quality is better, in the time that this estimated value numerical value is zero, represent that signal quality reaches peak.
The substantive distinguishing features that technical solution of the present invention is outstanding and significant progressive being mainly reflected in:
The inventive method can accurately be estimated signal quality in the short period of time, and estimated value is carried out to finer and smoother quantification classification, contributes to upper layer application to use more accurately this estimated value.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, technical solution of the present invention is described further:
Fig. 1: schematic flow sheet of the present invention.
Embodiment
The method of estimation of the signal quality of MSK and O-QPSK signal, first, the estimation of the signal quality of the statistical nature based on chip to MSK and O-QPSK signal is, rather than statistical nature based on after spreading code solution spread spectrum, the error rate statistical nature of physical frame that neither be based on transmission; Then, because the estimation of signal quality is statistical nature based on chip, therefore phase locked auxiliary without setting up spreading code in the time carrying out signal quality estimation, also assist without the foundation of frame synchronization, only need the foundation of chip synchronization, and the foundation of chip synchronization necessarily prior to the synchronous and frame of spreading code phase place synchronously; Finally, under chip symbol synchronizing signal auxiliary to baseband signal carry out simple nonlinear operation and and linear averaging that this operation result is simplified can obtain fast the high-resolution of current demand signal quality to estimate.
As shown in Figure 1, enter radio-frequency module in the input MSK of receiver or O-QPSK radiofrequency signal and be transferred to zero intermediate frequency and become baseband signal, baseband signal is converted to digital sampled signal r (n) by analogue-to-digital converters after low pass filter; Under the control of symbol timing recovery module, digital sampled signal r (n) is converted into the signal rs (k) with character rate sampling, sampling instant corresponding to center that k is each symbol; The signal rs (k-1) in signal rs (k) and a upper moment was carried out to conjugate multiplication, and this product is got after real part computing and asked and thoroughly deserve s1 (k):
S1(k)?=?abs{real[rs(k)rs*(k-1)]}
Wherein, real () is for to get real part computing to plural number; Abs () is the computing that takes absolute value;
Then, s1 (k) is carried out to segmentation to be averaging, section length is decided to be to 2 integral number power, the result on average obtaining is the estimated result of signal quality, estimated value numerical value is larger, shows that signal quality is poorer, otherwise represents that signal quality is better, in the time that this estimated value numerical value is zero, represent that signal quality reaches peak.
In sum, the inventive method can accurately be estimated signal quality in the short period of time, and estimated value is carried out to finer and smoother quantification classification, contributes to upper layer application to use more accurately this estimated value.
It is to be understood that: the above is only the preferred embodiment of the present invention; for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.