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blind Multiuser channel identification Based on Rate Doubling and Modulation-Induced Cyclostationarity

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The Journal of China Universities of Posts and Telecommunications 2003年第3期10卷 22-29页

作者： CAO Shi ke, ZHANG Li jun (Nanjing University of Posts and Telecommunications, Nanjing 210003, P.R. China) Nanjing University of Posts and Telecommunications Nanjing 210003

In this paper, a novel approach is put forward to the multiuser channelidentification. The approach makes use of the modulation-induced Cyclostationarity to separate thesecond order cyclic statistics for every user, with the special features of one subspace for oneuser, so as to be able to identify individual channels of different users. In order to form aSingle-Input-Two-Output (SITO) system, the transmission rate is doubled by repeating at thetransmitters. The approach is rather simple, suitable for the multiuser uplink . And the channelidentifiability conditions with its proof are included in the paper, And finally the identificationalgorithm is proposed with simulation results.

关键词： blind channel identification cyclostationarity second-order cyclicstatistics

A Specially Designed Modulation-Induced Cyclostationarity Scheme for blind SISO channel identification and Equalization

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The Journal of China Universities of Posts and Telecommunications 2004年第4期11卷 100-103页

作者： CAOShi-ke ZHANGShi-bing ZHANGLi-jun NanjingUniversityofPostsandTelecommunications Nanjing210003P.R.China

A special Modulation-Induced Cyclostationarity(MIC)scheme is designed for the identification and equaliza-tion of FIR Single-Input-Single-Output(SISO)channel,with the property that the transmit power is constant and t... 详细信息

关键词： blind channel identification blind equalization cyclostationarity MIC

blind MIMO channel Estimation Based on Modulation-Induced Two-Cycle Cyclostationarity

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The Journal of China Universities of Posts and Telecommunications 2002年第4期9卷 38-46页

作者： CAOShi-ke ZHANGLi-jun DepartmentofCommunicationsEngineering NanjingUniversityofPostsandTelecommunicationsNanjing210003.P.R.China DepartmentofCommunicationsEngineering NanjingUniversityofPostsandTelecommunicationsNanjing2

In this paper, a novel approach is presented to the multiuser channelidentification . The approach makes use of the modulation-induced Cyclostationarity, capable ofidentifying individual channels of different users. By means of the decomposition of the cyclicspectrum method, the blind estimation of the channel can be achieved . The approach is rathersimple, with considerable advantages over existing techniques, and suitable for the multiuser uplink. The identifiabilily condition and its proof are also concluded in the paper. And finally *** of identification algorithm is given.

关键词： MIMO blind channel identification cyclostationarity

blind Multipath identification: A Weighted Linear Prediction Approach

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The Journal of China Universities of Posts and Telecommunications 2003年第4期10卷 39-44页

作者： WANG Bao-yun,ZHENG Bao-yu(Department of Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, P.R. China) Department of Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003

blind channel identification exploits the measurable channel output signaland some prior knowledge of the statistics of the channel input signal. However, in many scenarios,more side information is available, In digital communication systems, the pulse-shaping filter inthe transmitter and the anti-aliasing filter in the receiver are often known to the *** of this prior knowledge can simplify the channel identification problem. In this paper,we pose the multipath identification problem as solving a group of linear equations. While we solvethe linear equations in the least-square meaning, a weight matrix can be introduced to improve theperformance of the estimator. The optimal weight matrix is derived. Compared with the existingLinear Prediction (UP) based multipath identification approach, the proposed approach offers asubstantial performance gain.

关键词： linear prediction blind channel identification multipath channel

Joint Angle and Delay Estimation (JADE) in Antenna Array CDMA Systems

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The Journal of China Universities of Posts and Telecommunications 2002年第2期9卷 13-16,61页

作者： YANYu-ping LIUZe-min SchoolofTelecommunicationEngineering BeijingUniversityofPostsandTelecomunicationsBeijing100876P.RChina SchoolofTelecommunicationEngineering BeijingUniversityofPostsandTelecomunicationsBeijing10087

The estimate of signals parameters is very important in wireless communications. In this paper, we combine subspace based blind channel estimation algorithm with the extension of the JADE WSF algorithm to jointly estimate the Angles of Arrival ( AOAs ) and delays of multipath signals arriving at an antenna array in Code Division Multiple Access ( CDMA ) systems. Our approach uses a collection of estimates of a consistent chip sample of space time vector channel. The channel estimates are assumed to have constant path AOA and delay over a finite number of symbols. Unlike the traditional MUltiple SIgnal Classification ( MUSIC ) and Estimation of Signal Parameters via Rotational Invariance Techniques ( ESPRIT ) algorithms for the estimation of signals parameters, the proposed method can work when the number of paths exceeds the number of antennas. The Cramer Rao Bound ( CRB ) and simulations are provided.

关键词： CDMA blind channel identification JADE WSF CRB

blind Signal Processing in Telecommunication Systems Based on Polynomial Statistics

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American Journal of Computational Mathematics 2014年第3期4卷 233-241页

作者： Oleg Goryachkin Andrey Berezovskiy Povolzhskiy State University of Telecommunications and Informatics Samara Russia

The tendencies of the contemporary communication systems development are characterized by the increasingly stringent requirements for maximum channel utilization. Considering discrete communication systems in channels with intersymbol interference identification with the use of training signal is the key technology to create various types of equalizers. However, the time (from 20% to 50%) spent on training signal is increasingly attractive resource for upgrading standards TDMA, especially in mobile systems. An alternative method to training signal is blind signal processing.

关键词： blind channel identification Polynomial Cumulants Gobner Basis

Subspace Tracking Based blind Adaptive Multiuser Detection for Uplink CDMA

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Subspace Tracking Based Blind Adaptive Multiuser Detection f...