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blind identification and DOA estimation for array sources in presence of scattering

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Journal of Systems Engineering and Electronics 2011年第3期22卷 393-397页

作者： Ying Xiong Gaoyi Zhang Bin Tang Hao Cheng School of Electronic Engineering University of Electronic Science and Technology of ChinaChengdu 610054P.R.China Department of Planning Sichuan Mobile Communications Co.Ltd.Chengdu 610041P.R.China

A novel identification method for point source,coherently distributed（CD） source and incoherently distributed（ICD） source is *** differences among the point source,CD source and ICD source are *** to the different characters of covariance matrix and general steering vector of the array received source,a second order blind identification method is used to separate the sources,the mixing matrix could be *** the mixing matrix,the type of the source is identified by using an amplitude *** the direction of arrival for the array received source is estimated by using the matching pursuit algorithm from the vectors of the mixing *** simulations validate the efficiency of the method.

关键词： blind identification direction of arrival(DOA) estimation distributed source amplitude criterion matching pursuit(MP).

blind identification OF A CLASS OF NONLINEAR SYSTEMS WITH CYCLOSTATIONARY INPUT

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Journal of Electronics(China) 2008年第6期25卷 827-829页

作者： Fu Jian Zhu Yanfei Li Xiaodong Tan Hongzhou School of Information Science and Technology Sun Yat-Sen University Guangzhou 510275 China College of Automation Guangdong University of Technology Guangzhou 510006 China

This letter deals with blind identification of nonlinear discrete Hammerstein system under the input signal that is cyclostationary. The first-order moment of the specific input as well as the inverse nonlinear mapping of the Hammerstein model are combined to establish a relationship between the system output and the system parameters, which implies an approach to identifying the system blindly. Simulation results demonstrate the effectiveness of this approach to blind identification of a class of nonlinear systems.

关键词： blind identification Cyclostationary signal Hammerstein systems

SUBSPACE METHOD FOR blind identification OF CDMA TIME-VARYING CHANNELS

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Journal of Electronics(China) 2002年第1期19卷 61-67页

作者： Liu Yulin Peng Qicong (School of Communication and Information Engineering, UEST of China, Chengdu 610054) School of Communication and Information Engineering UEST of China Chengdu 610054

A new blind method is proposed for identification of CDMA Time-Varying (TV)channels in this paper. By representing the TV channel's impulse responses in the delay-Doppler spread domain, the discrete-time canonical model of CDMA-TV systems is developed and a subspace method to identify blindly the Time-Invariant (TI) coordinates is proposed. Unlike existing basis expansion methods, this new algorithm does not require .estimation of the base frequencies, neither need the assumption of linearly varying delays across symbols. The algorithm offers definite explanation of the expansion coordinates. Simulation demonstrates the effectiveness of the algorithm.

关键词： CDMA Time-varying channels blind identification Delay-Doppler spread domain Subspace method

Extending the Subspace method for blind identification

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Extending the Subspace method for Blind Identification

A Fixed Point Algorithm for blind identification of Underdetermined Mixtures

1998 Fourth International Conference Signal Processing

作者： Leila HOTEIT DSP section Imperial CollegeLondon SW7 2AZ

＜正＞The Moulines Subspace procedure for blind identification leads to an inconsistent estimation when the order of the channel is unknown or when it is close to being *** non-robustness of the Subspace approach to order over-estimation is considered a major limitation to its use in practical *** is usually the strongest argument in favour or linear predictionbased methods for channel identification. In this contribution,we propose a simple extension to the Subspace approach which is robust to both over-estimation and lack of channel disparity.

关键词： blind identification singular value decomposition(SVD) Subspace method(SS)

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A Fixed Point Algorithm for Blind Identification of Underdet...

blind adaptive identification of FIR channel in chaotic communication systems

2010 Chinese Control and Decision Conference

作者： Mingjian Zhang School of Automation,Guangdong University of Technology,Guangzhou,510006

In this paper,we consider the problem of blind identification in the underdetermined instantaneous mixtures case,where there are more sources than ***,a simultaneous matrix diagonalization(SMD)-based method has been proposed without any need of sparsity assumption on *** of using SMD technique,we propose a fixed point algorithm,which estimates the columns of the mixing matrix sequentially one by *** simulations are presented in order to demonstrate that the proposed algorithm has the ability to identify the mixing matrix,and its performance is comparable to that of SMD-based algorithm.

关键词： blind identification fixed point algorithm underdetermined mixtures parallel factor(PARAFAC) analysis simultaneous matrix diagonalization(SMD)

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Chinese Physics B 2004年第3期13卷 329-334页

作者：王保云 TommyW.S.Chow K.T.Nb 王保云 TommyW.S.Chow K.T.Nb DepartmentofInformationEngineering NanjingUniversityofPostsandTelecommunicationsNanjing210003China DepartmentofElectronicEngineering CityUniversityofHongKongKowloonHongKongChina

In this paper we study the problem of blind channel identification in chaotic communications. An adaptive algorithm is proposed, which exploits the boundness property of chaotic signals. Compared with the EKF-based approach, the proposed algorithm achieves a great complexity gain but at the expense of a slight accuracy ***, our approach enjoys the important advantage that it does not require the a priori information such as nonlinearity of chaotic dynamics and the variances of measurement noise and the coefficient model noise. In addition,our approach is applicable to the ARMA system.

关键词： chaotic communication blind identification LMS algorithm extended Kalman filtering

The Analysis And Comparison Of The Linear blind Channel identification Algorithms Based On Second Order Statistics

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The Analysis And Comparison Of The Linear Blind Channel Iden...

A Novel Method for Identifying Recursive Systematic Convolutional Encoders Based on the Cuckoo Search Algorithm

2003年通信理论与信号处理年会

作者： Yiling Xu,Qicong Peng,Yubai Li Institute of Communication and Information Engineering University of Electronic Science and Technology of China Chengdu,China xuyiling@***

＜正＞ Traditional blind channel identification/equalization techniques have been based on higher-order statistics,which are known to suffer from many *** some methods using only second order statistics have been proposed,and it’s a major *** main methods based on second order statistics include linear prediction algorithm （LPA）[1]{2],outer product decomposition algorithm （OPDA）[3][4],multi-step linear prediction algorithm （MSLP）[5],least square smoothing algorithm （LSS）[6],and constrained minimum output energy algorithm （CMOE）[7].These algorithms are all based on the channel parameter outer-product matrix that deduced from the received signals,and then we can estimate the channel by eigen-decomposition or singular *** every algorithm has it’s own *** analyzing and comparing,this paper gives the character and complexity of each algorithm,also gives the relationship and the difference of *** simulations show the performance of *** paper will point out that there needs other condition to identify the channel because there is a problem in the algorithms.

关键词： Channel identification blind identification second order statistics

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China Communications 2022年第12期19卷 64-72页

作者： Shunan Han Peng Liu Guang Huang Aviation University of Air Force Changchun 130000China

The existing methods for identifying recursive systematic convolutional encoders with high robustness require to test all the candidate generator matrixes in the search space *** the increase of the codeword length and constraint length,the search space expands exponentially,and thus it limits the application of these methods in *** overcome the limitation,a novel identification method,which gets rid of exhaustive test,is proposed based on the cuckoo search algorithm by using soft-decision ***,by using soft-decision data,the probability that a parity check equation holds is ***,solving the parity check equations is converted to maximize the joint probability that parity check equations ***,based on the standard cuckoo search algorithm,the established cost function is *** to the final solution of the optimization problem,the generator matrix of recursive systematic convolutional code is *** with the existing methods,our proposed method does not need to search for the generator matrix exhaustively and has high ***,it does not require the prior knowledge of the constraint length and is applicable in any modulation type.

关键词： RSC code blind identification softdecision cuckoo search algorithm

Enhancement Channel Estimation Using Outer-Product Decomposition Algorithm Based on Frequency Transformation

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Journal of Marine Science and Application 2020年第2期19卷 283-292页

作者： Xiukun Li Ji Wang Dexin Zhao Acoustic Science and Technology Laboratory Harbin Engineering UniversityHarbin 150001China Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University) Ministry of Industry and Information TechnologyHarbin 150001China College of Underwater Acoustic Engineering Harbin Engineering UniversityHarbin 150001China Advanced Interdisciplinary Technology Research Center National Innovation Institute of Defense TechnologyBeijing 100010China

The outer-product decomposition algorithm(OPDA)performs well at blindly identifying system ***,the direct use of the OPDA in systems using bandpass source will lead to *** study proposes an approach to enhance the channel estimation quality of a bandpass source that uses *** approach performs frequency domain transformation on the received signal and obtains the optimal transformation parameter by minimizing the p-norm of an error ***,the proposed approach extends the application of OPDA from a white source to a bandpass white source or chirp *** formulas and simulation results show that the proposed approach not only reduces the estimation error but also accelerates the algorithm in a bandpass system,thus being highly feasible in practical blind system identification applications.

关键词： blind identification Outer-product decomposition algorithm Bandpass white signal Chirp signal Second-order statistics