CN105680903B - The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal - Google Patents

The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal Download PDF

Info

Publication number
CN105680903B
CN105680903B CN201610144599.5A CN201610144599A CN105680903B CN 105680903 B CN105680903 B CN 105680903B CN 201610144599 A CN201610144599 A CN 201610144599A CN 105680903 B CN105680903 B CN 105680903B
Authority
CN
China
Prior art keywords
code
sequence
signal
multiple access
division multiple
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610144599.5A
Other languages
Chinese (zh)
Other versions
CN105680903A (en
Inventor
赵知劲
李淼
沈雷
徐春云
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Zhiduo Network Technology Co ltd
Original Assignee
Hangzhou Dianzi University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Dianzi University filed Critical Hangzhou Dianzi University
Priority to CN201610144599.5A priority Critical patent/CN105680903B/en
Publication of CN105680903A publication Critical patent/CN105680903A/en
Application granted granted Critical
Publication of CN105680903B publication Critical patent/CN105680903B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details 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
    • H04B1/69Spread spectrum techniques
    • H04B1/707Spread spectrum techniques using direct sequence modulation

Abstract

The present invention relates to the period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal.Existing direct sequency-code division multiple access signal pseudo-code blind estimate technology can not be applied to spread long code scrambled period long short code direct sequency-code division multiple access signal using short code.The present invention is that long short code direct sequency-code division multiple access signal of complicated period is configured to the missing matrix model of short code direct sequency-code division multiple access signal, and compound key Matrix Estimation is modeled as blind source signal separation problem;Matrix fill-in theory is applied to compound key Matrix Estimation again, each user's compound key sequence is estimated based on singular value thresholding algorithm and fast independent component analysis algorithm;Finally utilize m-sequence displacement additivity, propose delay third-order correlation algorithm, from each user's compound key sequence estimation it includes length pseudo-code sequence.The present invention makes full use of the mathematical model of matrix fill-in and m-sequence third-order correlation peak character, realizes the blind estimate of each user's compound key sequence of signal, long scrambler sequence and short spreading code sequence successively.

Description

The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal
Technical field
The invention belongs to the blind parameter Estimation field of Direct Sequence Spread Spectrum Signal in communication countermeasure, more particularly to a kind of uses Short code spreads more pseudo-code methods of estimation of long code scrambled period long short code direct sequency-code division multiple access signal.
Background technology
Conventional communication system mainly transmits information as much as possible using the power of limit signal and bandwidth.Spread-spectrum Communication is the communication carried out data transmission in a bandwidth much larger than information rate, since it is not to save bandwidth as mesh , thus different from conventional communication system.
Direct Sequence Spread Spectrum (Direct Sequence Spread Spectrum, DSSS) is the master of spread spectrum technic Want one of mode.The core concept of direct-sequence communications system is before information code sequence is sent, with high-speed pseudo noise code to signal It is modulated, the spread spectrum of signal, signal is made to be submerged among noise so that direct sequence signal is difficult to detect.Direct sequence signal has There is interference rejection capability strong, be conducive to the advantages that hidden, the achievable multiple access of signal accesses, anti-fading ability is strong so that spread spectrum is logical Letter becomes the hot topic studied at present.
CDMA (Code Division Multiple Access, CDMA) is a kind of Digital Communications With Multiple Access mode, is led to It crosses unique code sequence and establishes channel.Direct sequency-code division multiple access (DS-CDMA) system is using DSSS technologies and CDMA technology as base What plinth was realized.Direct sequency-code division multiple access signal can be divided into:Short code direct sequency-code division multiple access signal, long code direct sequency-code division multiple access signal and The scrambled long short code direct sequency-code division multiple access signal of long code is spread using short code.
In communication countermeasure, the advantages that just because of the strong antijamming capability of direct sequency-code division multiple access signal, good concealment, make Direct sequency-code division multiple access signal detection under the conditions of non-cooperative communication and blind parameter Estimation it is extremely difficult.It is pseudo- in non-cooperative communication Random code (abbreviation pseudo-code) estimation is the premise and key of signal interception.The pseudo-code Estimation Study of short code direct sequency-code division multiple access signal Comparative maturity, the research of long code direct sequency-code division multiple access signal also have been achieved with certain achievement.But period long short code direct expansion code For divided into multi-address signal since its is complicated and multi-access inference, confidentiality is stronger, is brought to the pseudo-code blind estimate of non-cooperative communication The difficulty of bigger and challenge.
Existing direct sequency-code division multiple access signal pseudo-code method of estimation is mainly decomposed by blind separation combination correlation matrix feature Method, neural network, matching matrix and third-order correlation method are realized.Due to being included in period long short code direct sequency-code division multiple access signal Multiple users, again comprising two pseudo-codes in each user, and correlation matrix feature decomposition method, neural network and matching matrix need A large amount of sample of signal are wanted, can not be suitable for period long short code direct sequency-code division multiple access signal.At present about period long short code direct expansion More pseudo-code blind estimates of CDMA signals yet there are no disclosed correlative study achievement.
Invention content
It can not blind estimate period long short code direct sequency-code division multiple access signal the purpose of the present invention is being directed in non-cooperative communication The problem of each user's pseudo-code, proposes that a kind of long short code direct sequency-code division multiple access signal of period based on matrix fill-in and third-order correlation is more Pseudo-code blind estimating method, so as to solve the problems, such as to be unable to estimate the period more pseudo-codes of long each user of short code direct sequency-code division multiple access signal.
The period more pseudo-code blind estimating methods of long short code direct sequency-code division multiple access signal, include the following steps in the present invention:
1st, period long short code direct sequency-code division multiple access signal is converted into baseband signal with spreading code chip polydispersity index, built The short code direct sequency-code division multiple access signal form of equal value of period long short code direct sequency-code division multiple access signal, and establish the missing for receiving signal Matrix model.
2nd, by carrying out matrix fill-in and singular value decomposition estimation signal compound key subspace to signal deletion matrix.
3rd, independent component analysis (Fast-ICA) estimation is carried out to signal compound key subspace and obtains each user's compound key sequence Row.
4th, the triple correlation function of each user's compound key sequence is calculated respectively, and additivity and three rank phases are shifted according to m-sequence Peak character is closed, estimation successively obtains each head of a household's scrambler sequence and short spreading code sequence.
The present invention makes full use of the design feature of period long short code direct sequency-code division multiple access signal, builds short code direct expansion code of equal value Divided into multi-address signal model and blind source signal separation form realize the estimation of each user's compound key.Each user's compound key is utilized simultaneously The displacement additivity of long scrambler m-sequence and third-order correlation peak character in sequence realize the long short code direct sequency-code division multiple access letter to the period The estimation of number each more pseudo-codes of user.
Long scrambler and short spreading code are considered as compound key by the present invention, straight using period long short code direct sequency-code division multiple access, long code Expand the contact of CDMA and short code direct sequency-code division multiple access, construct short code direct sequency-code division multiple access signal form of equal value and receive and believe Number missing matrix model includes the information of each user's compound key in the missing matrix.
The present invention receives signal deletion matrix using the singular value thresholding algorithm docking in matrix fill-in theory and is filled, right It fills obtained full matrix and carries out singular value decomposition, you can estimation obtains compound key subspace.
The compound key subspace that present invention estimation obtains not is the compound key of period long short code direct sequency-code division multiple access signal Matrix, it belongs to same subspace with signal compound key matrix, and there are linear transformation relationships, and being realized using Fast-ICA algorithms should The blind separation of linear model, so as to estimate to obtain each user's compound key sequence.
It, will be compound comprising long scrambler sequence and short spreading code sequence in each user's compound key sequence that present invention estimation obtains Code sequence loops move to left several bits (identical with monocycle spread spectrum short code chip number) and are multiplied with original compound key sequence, can be with Eliminate influence of the short spreading code to long scrambler triple correlation function.Using the displacement additivity of m-sequence and third-order correlation peak character, Estimation obtains long scrambler sequence and short spreading code sequence successively.
The beneficial effects of the invention are as follows:
The 1st, period long short code direct sequency-code division multiple access signal is configured to the missing of multi-user's short code direct sequency-code division multiple access signal Signal compound key Matrix Estimation is modeled as blind source signal separation problem by matrix model, can will be complicated by the modeling process Signal model simplifies.
2nd, matrix fill-in theory is applied to signal compound key Matrix Estimation, proposes singular value thresholding algorithm and Fast-ICA Algorithm can realize blind separation and the estimation of each user's compound key sequence.
3rd, influence of the short spreading code for long scrambler in compound key sequence is eliminated by delay multiplication, utilizes long code m-sequence Additivity estimation long code initial phase is shifted, long scrambler sequence and short spreading code sequence can be estimated successively, and estimate performance It greatly improves.
Specific embodiment
Illustrate the implementation steps of the present invention in detail further below.
Step 1, the more pseudo-code methods of estimation of period of the invention long short code direct sequency-code division multiple access signal when in use, will connect first After the period long short code direct sequency-code division multiple access signal received is with spreading code chip polydispersity index, it is converted into baseband signal y (l):
Wherein, l is sampling instant, l=0,1 ..., L-1;K is user's number;Ak、dk(l)、bk(l) and ck(l) difference table Show spreading code that k-th of subscriber signal amplitude, information code sequence, period are G and the long scrambler that the period is N, bk(l) and ck(l) all Using m-sequence and N > > G;V (l) is additive white Gaussian noise;L is signal length, and assumes L=JN, and J is positive integer;Each With containing per familyA information symbol,It represents to take the smallest positive integral not less than x.
Signal length pseudo-code is considered as compound key, it is assumed that there are one containing same compound code sequence and information code sequence, Spreading gain is K user's short code direct sequency-code division multiple access signal of N
Wherein,sk(n)=bk(n)ck(n) (n=0,1 ..., N-1) represents the compound key sequence of k-th of user Row,
It is represented by the matrix form of N × M dimensions:
Wherein, S=[s1 s2 … sK], sk=[sk(0) sk(1) … sk(N-1)]T, D=[d1 d2 … dK], dk= [dk(0) dk(1) … dk(M-1)], A=diag (A1,A2,…,AK),White Gaussian noise matrix is tieed up for N × M, S is compound Code matrix.
According toWithCorrespondence can obtain matrixElement value with Y is respectively:
Wherein, (l)NL is represented to mould N complementation operations,Represent the maximum integer no more than x.
Obviously, signal is receivedIt isIn part sample, rest part is considered as missing.Therefore it can incite somebody to action K user's period long short code direct sequency-code division multiple access signal modeling is the mathematical model for lacking matrix:
Wherein, Ω is the matrix of N × M dimensions, andRemaining position element is 0 (representing missing point);⊙ Representing matrix point multiplication operation;Y isEach Lieque has lost the missing matrix of about N-G specific position element.
Signal will be received by formula (5) and (6)It is configured to the missing matrix Y of N × M dimensions.
Step 2, from the corresponding left singularity characteristics vector composition of K singular value of missing matrix Y estimation full matrix maximums Matrix Us, utilize singular value threshold value (Singular Value Thresholding, SVT) algorithm in matrix fill-in theory It realizes, specific method is:
1. initialize Z0∈RN×M
2. calculate dematrix Xj=Fτ(Zj-1);
3. by Zj=Zj-1+δ(Y-Xj⊙ Ω) update multiplier matrix Zj
If 4.2. then j=j+1 is returned;Conversely, obtain estimated valueIt is rightInto Row singular value decomposition can obtain compound key sequence subspace UsEstimated value
Wherein, Z0And ZjTo be respectively Iterative Matrix initial value and median, XjIteration updated value for dematrix.||Y| |FThe Frobenius norms of representing matrix Y respectively.
Fτ(X) it is singular value threshold operator, is defined as:
Wherein, r is singular value number;λn(n=1,2, L, N) is the singular value that matrix Z is arranged in descending order, and meets λr≤τ ≤λr-1;Uz(n) and Vz(n) the n-th of the right singularity characteristics vector of the left singularity characteristics vector sum of representing matrix Z arranges respectively.
Step 3, UsThe subspace that is turned into of column vector and the subspace that is turned into of column vector of compound key matrix S belong to same Sub-spaces, i.e., there are the relationship of linear transformation between them, using Fast-ICA algorithms, by UsThe signal that direct blind separation goes out For Sf, to SfCarrying out symbolic operation can estimate to obtain compound key matrix, i.e.,:
The compound key matrix estimatedEach row be the corresponding compound key sequence of each user
Step 4, by the compound key of k-th of userRing shift right G bits are multiplied with former compound key, obtain
It is calculated in the range of N × NTriple correlation function
Wherein, p and q is retardation.
Due toAdditivity is then shifted according to m-sequence, can be obtained:
Wherein, ΓkFor long code m-sequence retardation.
According to m-sequence triple correlation function characteristicIt should be in coordinate points (G, Γk) at there are peak values.But by In noise and error in numerical calculation, ΓkEstimator it is as follows:
Ring shift right ΓkBit obtains long scrambler sequence
According to the compound key sequence having been estimated thatWith long scrambler sequenceCan further it estimate Meter obtains short spreading code sequence
By step 4, the respective long scrambler sequence of K user can be estimated according to the compound key sequence that estimation obtains respectively Row and short spreading code sequence.
The preferred embodiment of the present invention and principle are described in detail above, to those of ordinary skill in the art Speech, the thought provided according to the present invention will change in specific embodiment, and these changes also should be regarded as the present invention Protection domain.

Claims (6)

1. the period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal, it is characterised in that this method includes the following steps:
(1) period long short code direct sequency-code division multiple access signal is converted into baseband signal, structure week with spreading code chip polydispersity index The short code direct sequency-code division multiple access signal form of equal value of phase long short code direct sequency-code division multiple access signal, and establish the missing square for receiving signal Battle array model;
(2) by carrying out matrix fill-in and singular value decomposition estimation signal compound key subspace to signal deletion matrix;
(3) independent component analysis is carried out to signal compound key subspace to estimate to obtain each user's compound key sequence;
(4) triple correlation function of each user's compound key sequence is calculated respectively, and additivity and third-order correlation peak are shifted according to m-sequence Characteristic, successively estimation obtain each head of a household's scrambler sequence and short spreading code sequence.
2. the more pseudo-code methods of estimation of period long short code direct sequency-code division multiple access signal as described in claim 1, it is characterised in that:Step Suddenly the short code direct sequency-code division multiple access signal form of equal value of the long short code direct sequency-code division multiple access signal of construction schedule described in (1) refer to by The length pseudo-code for receiving signal y (l) is considered as special compound key, and y (l) is represented by:
Wherein, l is sampling instant, l=0,1 ..., L-1;K is user's number;Ak、dk(l) k-th of subscriber signal width is represented respectively Degree, information code sequence;sk(n)=bk(n)ck(n), n=0,1 ..., N-1 represent the compound key sequence of k-th of user, bk(n), ck(n) spread spectrum code sequence of k-th of user, long scrambler sequence are represented respectively;X (l) represents useful signal, and v (l) is additive Gaussian White noise;L is signal length, and assumes that L=JN, J are positive integer, 0≤j≤J;It is each to use Contain per familyA information symbol, N and G are respectively the period of long code and short code,Representative rounds up;
It is assumed that there are one to contain same compound code sequence and information code sequence, K user's short code direct expansion code point that spreading gain is N Multi-address signal
Wherein,
3. the more pseudo-code methods of estimation of period long short code direct sequency-code division multiple access signal as claimed in claim 2, it is characterised in that:Step Suddenly the missing matrix model of the structure reception signal described in (1) refers to basisWithCorrespondence:
Wherein (l)NL is represented to mould N complementation operations,Represent the maximum integer no more than x;
The mathematical model that signal modeling is missing matrix will be received:
Wherein, Ω is the matrix of N × M dimensions, andRemaining position element is 0, i.e. missing point;⊙ represents square Lattice point multiplication;Y isEach Lieque has lost the missing matrix of N-G specific position element.
4. the more pseudo-code methods of estimation of period long short code direct sequency-code division multiple access signal as claimed in claim 3, it is characterised in that:Step Suddenly signal deletion matrix progress matrix fill-in and singular value decomposition estimation signal compound key subspace are referred to utilize described in (2) It is more to obtain short code direct expansion code of equal value point by the long short code direct sequency-code division multiple access signal deletion matrix Y of singular value thresholding algorithm fill cycle Location signal integrity matrixEstimated valueIt is right againSingular value decomposition is carried out, the maximum corresponding left side of K singular value is unusual The matrix U of feature vector compositions∈RN×KAs signal compound key subspace, RN×KRepresent the real number matrix of N × K.
5. the more pseudo-code methods of estimation of period long short code direct sequency-code division multiple access signal as claimed in claim 4, it is characterised in that:Step Suddenly (3) it is empty using independent component analysis to estimate to obtain the compound numeral of signal that each user's compound key sequence refers to that step (2) obtains Between Us∈RN×KThe subspace that is turned into of column vector and the subspace that is turned into of column vector of signal compound key matrix S belong to same Subspace, i.e., there are linear transformation T between them, i.e.,:
Us=TS (6)
It can be according to Fast-ICA algorithms, by U for the linear mixed modelsThe signal that direct blind separation goes out is Sf, to SfIt is accorded with Number operation can be estimated to obtain compound key matrix, i.e.,:
The compound key matrix estimatedEach row be the corresponding compound key sequence of each user
6. the more pseudo-code methods of estimation of period long short code direct sequency-code division multiple access signal as described in claim 1, it is characterised in that:Step Suddenly (4) estimate length pseudo-code sequence successively according to compound key sequence, and need to eliminate short spreading code by cyclic shift influences, and recycles M-sequence displacement superimposed characteristics estimate each initial phase Γ with head of a household's scrambler sequencek, ΓkEstimator be:
WhereinIt representsTriple correlation function, p, q represent retardation;
By the compound key of k-th of userRing shift right G bits are multiplied with former compound key Ring shift right ΓkBit obtains long scrambler sequence
According to the compound key sequence and long scrambler sequence having been estimated that, further estimation obtains short spreading code sequence
CN201610144599.5A 2016-03-14 2016-03-14 The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal Active CN105680903B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610144599.5A CN105680903B (en) 2016-03-14 2016-03-14 The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610144599.5A CN105680903B (en) 2016-03-14 2016-03-14 The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal

Publications (2)

Publication Number Publication Date
CN105680903A CN105680903A (en) 2016-06-15
CN105680903B true CN105680903B (en) 2018-06-12

Family

ID=56310385

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610144599.5A Active CN105680903B (en) 2016-03-14 2016-03-14 The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal

Country Status (1)

Country Link
CN (1) CN105680903B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107682041B (en) * 2017-10-19 2019-12-10 杭州电子科技大学 Multi-antenna LC-DS-CDMA signal spreading code blind estimation method
CN108306655B (en) * 2018-01-29 2020-09-11 哈尔滨工程大学 Underwater sound direct sequence spread spectrum signal m-sequence blind estimation method based on database matching
US11075709B2 (en) * 2018-02-15 2021-07-27 Qualcomm Incorporated Variable spreading factor codes for non-orthogonal multiple access
CN109150236B (en) * 2018-08-01 2020-05-19 东南大学 Variable-step length LEAP neural network-based direct sequence estimation method for pseudo code of direct sequence spread spectrum signal
CN113541728B (en) * 2021-06-29 2022-06-17 中国人民解放军国防科技大学 Method, system and medium for guided acquisition of short code signal to long code signal
CN113472483B (en) * 2021-06-30 2023-06-02 西南电子技术研究所(中国电子科技集团公司第十研究所) Blind estimation method for code element rate and code element conversion time of digital modulation signal
CN116232809B (en) * 2023-01-12 2024-04-19 电子科技大学 Synchronous long code DS-CDMA signal blind estimation method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101079653A (en) * 2007-06-27 2007-11-28 哈尔滨工程大学 PN SN blind estimation method and device
CN101662305A (en) * 2009-09-25 2010-03-03 西安电子科技大学 Pseudo-random code estimation method of direct sequence spread spectrum system
CN104038249A (en) * 2014-05-12 2014-09-10 杭州电子科技大学 Method of estimating pseudorandom code of cycle long code direct sequence spread spectrum signals
CN104168233A (en) * 2014-08-12 2014-11-26 重庆邮电大学 DSSS/UQPSK signal pseudo code sequence estimation method based on characteristic decomposition and Messay algorithm

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6982945B1 (en) * 2001-01-26 2006-01-03 Google, Inc. Baseband direct sequence spread spectrum transceiver
US7356074B2 (en) * 2003-05-08 2008-04-08 Rf Micro Devices, Inc. Estimation of multipath channel with sub-chip resolution

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101079653A (en) * 2007-06-27 2007-11-28 哈尔滨工程大学 PN SN blind estimation method and device
CN101662305A (en) * 2009-09-25 2010-03-03 西安电子科技大学 Pseudo-random code estimation method of direct sequence spread spectrum system
CN104038249A (en) * 2014-05-12 2014-09-10 杭州电子科技大学 Method of estimating pseudorandom code of cycle long code direct sequence spread spectrum signals
CN104168233A (en) * 2014-08-12 2014-11-26 重庆邮电大学 DSSS/UQPSK signal pseudo code sequence estimation method based on characteristic decomposition and Messay algorithm

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
多径信道中扩频信号伪随机序列盲估计;沈雷;《浙江大学学报(工学版)》;20071130;第41卷(第11期);1828-1833 *
长码直扩信号扩频序列估计;赵知劲;《杭州电子科技大学学报(自然科学版)》;20150331;第35卷(第2期);1-4 *
非周期长码直扩信号的伪随机码盲估计;赵知劲;《通信学报》;20150531;第36卷(第5期);1-8 *

Also Published As

Publication number Publication date
CN105680903A (en) 2016-06-15

Similar Documents

Publication Publication Date Title
CN105680903B (en) The period more pseudo-code methods of estimation of long short code direct sequency-code division multiple access signal
Miller Training analysis of adaptive interference suppression for direct-sequence code-division multiple-access systems
CN104038249B (en) Cycle long code direct sequence signal pseudo-random code estimation method
CN105634544A (en) Blind despreading method of synchronous long code DS-CDMA (Direct Sequence-Code Division Multiple Access) signals
Escudero et al. A Toeplitz displacement method for blind multipath estimation for long code DS/CDMA signals
Torlak et al. Blind estimation of FIR channels in CDMA systems with aperiodic spreading sequences
CN111953380A (en) Non-periodic long code direct sequence spread spectrum signal time delay estimation method and system based on norm fitting
Tong et al. Blind decorrelating RAKE receivers for long-code WCDMA
CN110460354B (en) Pseudo code sequence blind estimation system
Kaddoum et al. Performance of multi-user chaos-based DS-CDMA system over multipath channel
Niranjayan et al. Novel adaptive nonlinear receivers for UWB multiple access communications
Djapic et al. Blind synchronization in asynchronous UWB networks based on the transmit-reference scheme
Geevarghese et al. CDMA interference cancellation techniques using neural networks in rayleigh channels
Kaddoum et al. Accurate bit error rate calculation for asynchronous chaos-based DS-CDMA over multipath channel
Li et al. Channel estimation for DS-CDMA with aperiodic spreading codes
CN101345728A (en) Multi-user encoding method for ultra-broad band communication signal
Shufeng et al. Spread spectrum communication system performance analysis based on the complete complementary sequence
Ertin et al. Iterative techniques for DS/CDMA multipath channel estimation
Ma et al. A Viterbi algorithm for blind estimation of periodic long-code DSSS signals
RU126541U1 (en) COMMUNICATION SYSTEM USING STOCHASTIC MULTI-FREQUENCY BROADBAND CODED RADIO SIGNALS
Singh et al. Interference Mitigation Using Improved Spectrum Shaping TH Codes to Address Coexistence Issue in UWB Systems
CN107342786B (en) Signal blind despread method based on ILSP algorithm
CN107294560B (en) Asynchronous short code DS-CDMA signal blind despread method
Olsovsky et al. An efficient digital signal processing method for RRNS-based DS-CDMA systems.
Xu et al. Blind channel estimation in aperiodic time-hopping ultra-wideband communications

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20201217

Address after: 314500 Tongxiang City, Jiaxing, Zhejiang, Tung Tung Road, Wu Tung Street (East) 55, Tongxiang chamber of Commerce Building 1 unit 1702, 1703 room -A-220

Patentee after: Jiaxing Beixi Electromechanical Equipment Co.,Ltd.

Address before: Room 3003-1, building 1, Gaode land center, Jianggan District, Hangzhou City, Zhejiang Province

Patentee before: Zhejiang Zhiduo Network Technology Co.,Ltd.

Effective date of registration: 20201217

Address after: Room 3003-1, building 1, Gaode land center, Jianggan District, Hangzhou City, Zhejiang Province

Patentee after: Zhejiang Zhiduo Network Technology Co.,Ltd.

Address before: 310018 No. 2 street, Xiasha Higher Education Zone, Hangzhou, Zhejiang

Patentee before: HANGZHOU DIANZI University

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20221206

Address after: Room 407-10, floor 4, building 2, Haichuang science and technology center, Cangqian street, Yuhang District, Hangzhou City, Zhejiang Province, 311100

Patentee after: Zhejiang Zhiduo Network Technology Co.,Ltd.

Address before: 314500 Tongxiang City, Jiaxing, Zhejiang, Tung Tung Road, Wu Tung Street (East) 55, Tongxiang chamber of Commerce Building 1 unit 1702, 1703 room -A-220

Patentee before: Jiaxing Beixi Electromechanical Equipment Co.,Ltd.