WO2012113105A1 - Plateforme de simulation cognitive de logiciel radio par cdma/uwb en séquence directe et procédé de conception associé - Google Patents

Plateforme de simulation cognitive de logiciel radio par cdma/uwb en séquence directe et procédé de conception associé Download PDF

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Publication number
WO2012113105A1
WO2012113105A1 PCT/CN2011/000310 CN2011000310W WO2012113105A1 WO 2012113105 A1 WO2012113105 A1 WO 2012113105A1 CN 2011000310 W CN2011000310 W CN 2011000310W WO 2012113105 A1 WO2012113105 A1 WO 2012113105A1
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sequence
module
bridge function
function
uwb
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Chinese (zh)
Inventor
洪晟
张凤元
邸金山
徐亚飞
李莹
陶文辉
张其善
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Beihang University
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Beihang University
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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
    • H04B1/7103—Interference-related aspects the interference being multiple access interference
    • 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
    • H04B1/7163—Spread spectrum techniques using impulse radio
    • H04B1/719—Interference-related aspects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J13/00—Code division multiplex systems
    • H04J13/0007—Code type
    • H04J13/0022—PN, e.g. Kronecker
    • H04J13/0025—M-sequences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J13/00—Code division multiplex systems
    • H04J13/0007—Code type
    • H04J13/004—Orthogonal
    • H04J13/0048—Walsh
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J13/00—Code division multiplex systems
    • H04J13/0007—Code type
    • H04J13/0055—ZCZ [zero correlation zone]

Definitions

  • Cognitive radio software simulation platform based on direct sequence CDMA/UWB and design method thereof
  • the invention provides a cognitive radio software simulation platform based on direct sequence CDMA/UWB, which is an ultra-wideband cognitive radio software simulation platform based on the underlay access mode.
  • the cognitive radio communication simulation system built by MATLAB/SIMULINK uses Gaussian pulse as the transmit pulse and Walsh sequence and bridge function sequence as the spread spectrum sequence. It can be judged by the calculation of bit error rate that it has zero correlation. The three-valued bridge function sequence of the region has better bit error rate performance than the Walsh sequence.
  • the invention belongs to the field of cognitive radio technology.
  • UWB technology Since its application in the civilian sector in the 1990s, UWB technology has set off a research boom in the world and is considered a revolutionary technology for next-generation wireless communications. As a wireless communication technology that is very different from traditional technologies, UWB has the characteristics of high speed, low cost and low power consumption, making UWB the best candidate for next-generation short-range high-rate wireless communication.
  • Ultra-wideband technology can currently be divided into two categories: UWB based on narrow pulse type and UWB based on modulated carrier spread spectrum.
  • the current internationally dominant UWB design includes direct sequence CDMA/UWB solutions and multi-carrier OFDM/UWB solutions.
  • CDMA/UWB is a pulse-based UWB scheme
  • OFDM/UWB is a multi-carrier based UWB scheme that uses OFDM technology to transmit subband information. Both technical solutions have their own advantages and disadvantages.
  • the concept of cognitive radio is the further expansion of software radio as a new intelligent wireless communication technology.
  • Cognitive radio covers a wider range and cognitive radio functions are more powerful.
  • the bridge function is a non-sinusoidal orthogonal function system consisting of three-valued "-1", "0", and "1" elements. By virtue of its shifting parameter, the number of zero elements in the sequence can be The ability to reconstruct and the excellent anti-synchronization error, anti-multipath and multi-access interference capabilities have been used more and more.
  • the bridge function sequence has the ability to reconstruct the number of ⁇ elements, allowing it to adjust the length of the code, the size of the code set, and the pattern according to the working wireless environment.
  • the dynamic spectrum access technology of cognitive radio can be divided into interactive access (Overlay) and substrate access (Underiay).
  • Overlay dynamic spectrum access is specifically a cognitive node that utilizes an unused spectrum access network; this situation minimizes interference to authorized users.
  • Underlay dynamic spectrum access This scheme takes advantage of the spectrum spreading technology of cellular networks. Once the Spectrum Map (CM) is obtained, the cognitive node begins to transmit. On this spectrum, authorized users treat the transmission of cognitive nodes as noise. Thus, this approach requires complex spread spectrum techniques. This approach can take advantage of wider bandwidth than the Overlay spectrum sharing scheme.
  • CM Spectrum Map
  • the invention adopts MATLAB/SIMULINK as the basic simulation environment, the Underlay method as the access technology, the Muse pulse as the transmission pulse, and the three-valued bridge function sequence as the spreading sequence, and builds a software simulation platform based on the ultra-wideband cognitive radio.
  • the Walsh sequence and the bridge function sequence with different zero correlation region lengths are used as the spreading sequence and the simulation results are compared.
  • the simulation results show that the three-valued bridge function sequence with zero correlation region has more than the Walsh sequence. Good resistance to multipath and multiple access interference, and the longer the length of the zero correlation zone, the stronger the ability to resist multipath and multiple access interference.
  • the object of the present invention is to provide a cognitive radio software simulation platform based on direct sequence CDMA/UWB. Under this platform, it can be seen from the simulation results that by using different spreading sequences, the three-valued expansion with zero correlation zone The frequency sequence has better resistance to multipath interference and multi-access interference than the Walsh sequence.
  • the invention is based on a direct sequence CDMA/UWB cognitive radio software simulation platform, which is composed of a Source module, a UWB Pulse Generator module, a BPSK Modulation module, a UWB Channel module, a RAKE module, an Equalizer module, a Judging and an Error Rate Calculation module. 1 is shown.
  • the Source module is a signal source for generating digital signals, and is mainly composed of a Bernoulli Binary Generator module, a Product module, and a unipolar to bipolar converter module, as shown in FIG. 2 .
  • the Bernoulli Binary Generator in the Source module generates random binary information data 0 and 1, and becomes -1 and 1 through the unipolar to bipolar converter.
  • the UWB Pulse Generator module is a Gaussian pulse generator, in which the required ultra-wideband is generated. (UWB) pulse.
  • the period and bandwidth of the pulse are determined by the parameters defined by the Workshop workstation in MATLAB, and the transmission waveform is optimized by the bridge function sequence matrix, and input into the proportional operation module Gain, which is output by the waveform output terminal outWave module.
  • the output waveform is BPSK modulated in the BPSK Modulation module.
  • the BPSK modulation module is provided by MATLAB/SIMULINK software. The modulated signal is sent to the UWB Channel module.
  • the UWB Channel module is a standard ultra-wideband channel defined by IEEE802.15.3a.
  • the module provides four standard ultra-wideband (UWB) channel models defined by IEEE802.15.3a, namely CM1, CM2, CM3, and CM4.
  • CM1 is line-of-sight type (LOS)
  • the channel model is 0-4 meters indoor environment
  • the other three channels are non-line-of-sight type (NLOS)
  • CM2 is 4-8 meters indoor multipath channel model
  • CM3 For the indoor multipath channel model of 8-12 meters
  • CM4 is an outdoor channel model.
  • the UWB Channel module can select four channels.
  • the UWB Channel module is mainly composed of a digital filter, a switch selector and a logarithmic Gaussian white noise generator.
  • the structure diagram is shown in Fig. 4. After the UWB multipath channel with additive Gaussian white noise and lognormal distribution fading, the output signal is an energy signal containing multiple different delay paths and passes through the RAKE module.
  • the RAKE module uses a PRAKE receiver, selects the appropriate first L path, and combines it with the minimum mean square error criterion.
  • the RAKE module is provided by MATLAB/SMULINK software.
  • the Equalizer module the recursive least squares equalization algorithm is used to reduce the effects of the multipath channel.
  • the Equalizer module is an equalizer and consists of a set of transversal filters. As shown in Figure 5, it consists of four delay units, five taps and five adjustable complex multipliers (weights).
  • the bit error rate is calculated by the Judging and Error Rate Calculation modules.
  • the Judging and Error Rate Calculation modules are provided by MATLAB/SIMULINK software.
  • the BPSK Modulation module is a BPSK modulation module.
  • the Judging module is a sampling decision module.
  • the Error Rate Calculation module is a bit error rate calculation module.
  • the invention is based on a direct sequence CDMA/UWB cognitive radio software simulation platform design method, and the steps are as follows: Step one, the sequence value is "+1", the "-1” Walsh sequence and the sequence value are " The bridge function sequence of +1 ", "0", "-1” is input as a spreading sequence to the constructed simulation system, and the zero autocorrelation region of the bridge function is increased by changing the shift parameter j of the bridge function sequence. From the simulation result obtained from the system, that is, the bit error rate curve, it can be seen that the bridge function sequence with zero correlation region has better bit error rate performance than the Walsh sequence, that is, it has better anti-multipath interference.
  • Step 2 Input the m-sequence and the bridge function sequence as the spreading sequence into the constructed simulation system respectively. It can be seen from the simulation results that the zero-correlation region of the bridge function is small when the bridge function shift parameter is small. At the time, the system using the m-sequence is slightly better than the system using the bridge function sequence to resist multipath interference, because the autocorrelation function of the m-sequence In addition to the zero point is a constant value, and very close to 0, but with the increase of the shift function of the bridge function, that is, the zero correlation gradually becomes longer, the system using the bridge function sequence as the spreading sequence has better Bit error rate performance;
  • Step 3 Step 1 and Step 2 above consider the ability of a single-user system to suppress multipath interference; now consider a multi-user system that uses a cross-correlation function with a zero-correlation bridge sequence as a spreading sequence to suppress multiple access interference. Capability; We constructed an ultra-wideband cognitive radio system with two user presences, making the bridge function sequence with zero cross-correlation region and a special kind of cross-correlation function constant zero for the bridge function intelligent code sequence as the system The results of the spreading sequence show that as the shifting parameter increases, the zero cross-correlation zone becomes larger and larger, and the system's ability to suppress multiple-access interference is also stronger. When the cross-correlation function is always 0, the bridge is used. When the function intelligent code sequence is used, the system has the best bit error rate performance, that is, the ability to suppress multiple access interference is best.
  • the bridge function sequence described in the first step is a three-value sequence consisting of "1", “-1", and "0" generated by combining a Walsh function and a square pulse function, which is obvious.
  • Zero autocorrelation zone and zero cross correlation zone are determined as the shift parameter j in the bridge function.
  • the shift parameter j increases as the shift parameter j increases.
  • the Walsh function and the square pulse function have no similar properties. A large number of literatures have shown that a three-valued spreading sequence with zero correlation regions can significantly reduce multipath interference.
  • step 1 we use the bridge function sequence with different shift parameters and the Walsh sequence to compare. As the shift parameter changes, the length of the zero autocorrelation region of the bridge function is gradually When increased, the system's ability to resist multipath interference is also getting stronger.
  • the m-sequence described in step 2 is a widely used spreading sequence whose autocorrelation function is a constant value at the remaining points except for having a sharp peak at zero, and is very close to zero.
  • the bridge function sequence shift parameter j is small, that is, the length of the zero autocorrelation region is small, the ability of the bridge function sequence to resist multipath interference is not as good as the m sequence, because the autocorrelation function of the m sequence is very close to 0.
  • the bridge function When the shift parameter j is gradually increased, the zero autocorrelation zone is gradually increased, and the multipath interference resistance is naturally enhanced.
  • step two provides a criterion for picking a better-performing bridge function sequence.
  • the multi-user system described in step three we adopt a system of two users.
  • the ordinary bridge function sequence and a special kind of bridge function sequence that is, the bridge function intelligent code sequence as the system's spreading sequence.
  • Numerous references have demonstrated that the multiple access interference present in a multi-user system is determined by the cross-correlation function of the spreading sequence.
  • the cross-correlation function of different sequences in the common bridge function sequence family has obvious zero correlation regions, which can reduce the multiple access interference existing between multiple users.
  • a special kind of bridge function sequence, that is, the bridge function intelligent code sequence has a cross-correlation function of 0. In theory, it can be proved that when the cross-correlation function is always 0, it should have the best performance against multiple access interference.
  • the present invention constructs a cognitive radio software simulation platform based on direct sequence CDMA UWB using Underlay access technology.
  • the bridge function sequence as the spreading sequence, it can be verified that the three-valued sequence with zero correlation region has better anti-multipath interference capability than the binary sequence.
  • the cognitive radio system constructed by the invention adopts a special bridge function sequence, that is, an intelligent code sequence, as a spread spectrum sequence, and the cross-correlation function of the sequence is always 0, which can effectively enhance the system's ability to resist multiple access interference.
  • Figure 1 is a block diagram of the invented single-user software simulation system module.
  • Figure 2 shows the structure of the Source module.
  • Figure 3 shows the structure of the UWB Pulse Generator module.
  • Figure 4 shows the structure of the UWB Channel module.
  • Figure 5 is the structure diagram of the Equalizer module.
  • Figure 8 shows the bit error rate performance of a multiuser system with a common bridge function sequence as a spreading sequence.
  • Figure 9 shows the bit error rate performance of a multiuser system when a special bridge function sequence, i.e., a smart code sequence, is used as a spreading sequence.
  • a special bridge function sequence i.e., a smart code sequence
  • the Source module is the signal source for generating the digital signal
  • the UWB Pulse Generator module is the Gaussian pulse generator
  • the BPSK Modulation is the BPSK modulation module
  • the UWB Channel is the standard UWB channel defined by IEEE802.15.3a
  • P AKE receiver
  • Equalizer module is equalizer
  • Judging is sampling decision module
  • Error Rate Calculation is BER calculation module.
  • FIG. 2 is a block diagram of the Source module.
  • the Source module is the information data source module. Bernoulli Binary Generator is a binary data generation module, and Product is a product operation module. Unipolar to bipolar converter Piece. Biploar is the reverse polarity output and Single is the primary polarity output.
  • Figure 3 is a block diagram of the UWB Pulse Generator module. Plus.PnWave is a waveform generator. Signal From Workspace is the waveform data imported from the MATLAB space. Gain is a proportional operation module. outWave is the output waveform
  • Figure 4 shows the structure of the UWB Channel module.
  • Inl is the input.
  • the Digital Filter is a digital filter.
  • WAGN is Gaussian white noise.
  • IN/Var AWGN is the logarithmic Gaussian white noise and its variance.
  • Channel.SNR is the signal to noise ratio parameter of the channel.
  • Switch is the switch selector.
  • Out2 is the output of the UWB Channel module.
  • FIG. 5 shows the structure of the Equalizer module.
  • the Equalizer module consists of a set of transversal filters consisting of four delay units, five taps and five adjustable complex multipliers (weights). Tbout is the input of the Equalizer module and Requa is the output of the Equalizer module.
  • Figure 6 is a comparison of the Walsh sequence and the bridge function sequence against multipath interference.
  • Smart code in I represents the first type of bridge function intelligent code sequence.
  • Figure 2 and Figure 3 compare the ability of the system to resist multipath interference in the case of a single user, and the ordinary bridge function sequence and the first type of bridge function intelligent code sequence have the same property on the zero autocorrelation area, so in a single user In the case, we use the first type of bridge function intelligent code sequence instead of the ordinary bridge function sequence.
  • the abscissa Eb/No represents the signal-to-noise ratio; the ordinate Bit Error Rate represents the bit error rate; j is the shift parameter of the bridge function. As the shift parameter increases, the zero-correlation region of the bridge function also increases.
  • Figure 7 is a comparison of m-sequence and bridge function sequences against multipath interference.
  • the abscissa Eb/No represents the signal-to-noise ratio; the ordinate Bit Error Rate represents the bit error rate; j is the shift parameter of the bridge function. As the shift parameter increases, the zero-correlation region of the bridge function also gradually increases.
  • Figure 8 and Figure 9 are simulations of the system error rate in the presence of two users.
  • the spreading sequence used in Fig. 4 is a common bridge function sequence
  • the spreading sequence used in Fig. 5 is a special bridge function sequence, that is, a bridge function intelligent code sequence whose mutual function is always zero.
  • the abscissa Eb/No represents the signal to noise ratio; the ordinate Bit Error Rate represents the bit error rate.
  • the invention is based on a direct sequence CDMA/UWB cognitive radio software simulation platform, which is composed of a Source module, a UWB Pulse Generator module, a BPSK Modulation module, a UWB Channel module, a RAKE module, an Equalizer module, a Judging and an Error Rate Calculation module. 1 is shown.
  • the Source module is a signal source for generating digital signals, and is mainly composed of a Bernoulli Binary Generator module, a Product module, and a unipolar to bipolar converter module, as shown in FIG. 2 . Bernoulli in the Source module The Binary Generator generates random two-way information data 0 and 1, and becomes -1 and 1 through the unipolar to bipolar converter.
  • the UWB Pulse Generator module is a Gaussian pulse generator in which the required ultra-wideband (UWB) pulses are generated.
  • the period and bandwidth of the pulse are determined by the parameters defined by the Workshop workstation in MATLAB, and the transmission waveform is optimized by the bridge function sequence matrix, and input into the proportional operation module Gain, which is output by the waveform output terminal outWave module.
  • the output waveform is BPSK modulated in the BPSK Modulation module.
  • the BPSK modulation module is provided by MATLAB/SIMULINK software. The modulated signal is sent to the UWB Channel module.
  • the UWB Channel module is a standard ultra-wideband channel defined by IEEE802.15.3a.
  • the module provides four standard ultra-wideband (UWB) channel models defined by IEEE802.15.3a, namely CM1, CM2, CM3, and CM4.
  • CM1 is line-of-sight type (LOS)
  • the channel model is 0-4 meters indoor environment
  • the other three channels are non-line-of-sight type (NLOS)
  • CM2 is 4-8 meters indoor multipath channel model
  • CM3 For the indoor multipath channel model of 8-12 meters
  • CM4 is an outdoor channel model.
  • the UWB Channel module can select four channels.
  • the UWB Channel module is mainly composed of a digital filter, a switch selector and a logarithmic Gaussian white noise generator.
  • the structure diagram is shown in Fig. 4. After the UWB multipath channel with additive Gaussian white noise and lognormal distribution fading, the output signal is an energy signal containing multiple different delay paths and passes through the RAKE module.
  • the RAKE module uses a PRAKE receiver, selects the appropriate first L path, and combines it with the minimum mean square error criterion.
  • the RAKE module is provided by MATLAB/SIMULINK software.
  • the Equalizer module a recursive least squares equalization algorithm is used to reduce the effects of the multipath channel.
  • the Equalizer module is an equalizer and consists of a set of transversal filters. As shown in Figure 5, it consists of four delay units, five taps and five adjustable complex multipliers (weights).
  • the bit error rate is calculated by the Judging and Error Rate Calculation modules.
  • the Judging and Error Rate Calculation modules are provided by MATLAB/SIMULINK software.
  • the BPSK Modulation module is a BPSK modulation module.
  • the Judging module is a sampling decision module.
  • the Error Rate Calculation module is a bit error rate calculation module.
  • the invention is based on a direct sequence CDMA/UWB cognitive radio software simulation platform design method, the steps are as follows: Step one, the sequence value is "+1", “-1” Walsh sequence and the sequence value is " The bridge function sequence of +1 ", "0”, is input as a spreading sequence to the constructed simulation system, and by changing the shift parameter j of the bridge function sequence, the zero autocorrelation zone of the bridge function is increased, from the end of the system.
  • the obtained simulation result that is, the bit error rate curve can be seen, with zero correlation
  • the bridge function sequence of the region has better error rate performance than the Walsh sequence, that is, it has better anti-multipath interference capability;
  • Step 2 the m sequence and the bridge function sequence are respectively input as the spreading sequence to the constructed
  • the bridge function shift parameter is small, that is, the zero correlation region of the bridge function is relatively small, the system using the m sequence is more resistant to multipath interference than the system using the bridge function sequence.
  • Steps 1 and 2 consider a single-user system, which is specifically as follows:
  • the Bernoulli Binary Generator in the Data Source subsystem generates random binary information data 0 and 1 and becomes -1 and 1 through the unipolar to bipolar converter module.
  • the UWB pulse generator subsystem a Gaussian pulse waveform is generated.
  • the output waveform is BPSK modulated in the Data Modulation subsystem.
  • the transmission signal can be expressed as s(t, C n p(t - nT c ) (1) pit) is a normalized pulse waveform with a duration of 7;
  • i is the number of clusters and K is the number of rays in the cluster.
  • ⁇ is the delay of the /th cluster, which is the relative delay of the first ray in the /cluster.
  • the signal is an energy signal containing multiple different delay paths.
  • the PRAKE receiver is used to select the appropriate L path that arrives first, and the minimum mean square error criterion is used for combining. Then, in the Equalizer module, the recursive least squares equalization algorithm is used. Reduce the impact of multipath channels.
  • £ m is the received energy of each symbol of the wth multipath, where It can be obtained by (5), (6). (7), because w is the autocorrelation number of the spreading code. Because the k value of the intelligent code sequence increases, the zero correlation zone becomes longer and longer. It can be seen that the bit error rate performance is getting better and better. Figures 2 and 3 can explain this problem very well.
  • Step 3 Step 1 and Step 2 above consider the ability of a single-user system to suppress multipath interference; now consider a multi-user system that uses a cross-correlation function with a zero-correlation bridge sequence as a spreading sequence to suppress multiple access interference. Capability; We constructed an ultra-wideband cognitive radio system with two user presences, making the bridge function sequence with zero cross-correlation region and a special kind of cross-correlation function constant zero for the bridge function intelligent code sequence as the system The results of the spreading sequence show that as the shifting parameter increases, the zero cross-correlation zone becomes larger and larger, and the system's ability to suppress multiple-access interference is also stronger. When the cross-correlation function is always 0, the bridge is used. When the function intelligent code sequence is used, the system has the best bit error rate performance, that is, the ability to suppress multiple access interference is best.
  • the transmitter part is similar to the single-user system except that there is one more user, and will not be described here. Only the receiver part is considered. Specifically, proceed as follows:
  • the acceptance signal of the machine can be expressed as follows
  • N is the number of users in a multipath environment
  • the template signal of the first correlator of the P-Rake receiver can be written as the following expression
  • V,(t) ⁇ g n ' k) w rec (t l -jT f -nT c (10) where is a locally generated pseudo-random sequence, P, is the channel estimation delay of the first path
  • bit error rate formula According to the standard Gaussian estimation, the expression of the bit error rate formula can be written as
  • Figure 4 shows the bit error rate performance of a multi-user system with a common bridge function sequence as a spreading sequence.
  • Figure 5 shows the bit error rate performance of a multiuser system when a special bridge function sequence, i.e., a smart code sequence, is used as a spreading sequence. It can be obtained from the comparison of the two graphs that the bridge function intelligent code sequence with the cross-correlation function constant of 0 has better bit error rate performance than the ordinary bridge function sequence, that is, better anti-multi-access interference capability.

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Abstract

L'invention concerne une plateforme de simulation cognitive de logiciel radio par accès multiple par répartition en code (CDMA)/bande ultra-large (UWB) en séquence directe, laquelle plateforme comprend un module Source, un module Générateur d'Impulsions UWB, un module de Modulation par Déplacement Binaire de Phase (BPSK), un module Canal UWB, un module RAKE, un module Egaliseur, un module d'Evaluation et de Calcul de Taux d'Erreurs. L'invention concerne également un procédé de conception de la plateforme, le procédé comprenant les étapes consistant à : (1) entrer dans le système de simulation construit, comme séquences de spectre étalé, une séquence de Walsh, dont les valeurs sont "+1" et "-1", et une séquence de fonction de pontage, dont les valeurs sont "+1", "0" et "-1" ; (2) entrer dans le système de simulation, comme séquences de spectre étalé, une séquence m et une séquence de fonction de pontage ; (3) utiliser, comme séquences de spectre étalé du système dans un système multi-utilisateur, des séquences de codage intelligent de fonction de pontage, présentant des zones de corrélation nulle et dont la fonction de corrélation de séquence de fonction de pontage est une constante égale à 0. Les résultats de la simulation montrent que plus le paramètre de décalage augmente, plus la taille de la zone de corrélation nulle augmente, et plus le système est apte à supprimer les interférences multi-utilisateur ; l'utilisation de séquences de codage intelligent de fonction de pontage dont la fonction de corrélation est une constante égale à 0 permet de supprimer de manière optimale les interférences multi-utilisateur.
PCT/CN2011/000310 2011-02-25 2011-02-25 Plateforme de simulation cognitive de logiciel radio par cdma/uwb en séquence directe et procédé de conception associé Ceased WO2012113105A1 (fr)

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