基于累积量的多用户DS/CDMA系统MIMO反滤波盲均衡

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955236

Chong-Yung Chi, Chi-Horng Chen

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引用次数: 0

摘要

Chi和Chen(参见IEEE Trans)。《信号处理》，2001年7月)先前报道了一种盲均衡算法，该算法使用基于累积量的多输入多输出逆滤波准则(MIMO-IFC)，用于多路径的多用户DS/CDMA系统。假设感兴趣的用户是信号功率为/spl epsi//sub 1/的弱用户，并且所有干扰的信号功率相同，表示为/spl epsi/，则Chi和Chen的算法的性能优于Tsatsanis和Xu的算法(参见IEEE Trans)。《信号处理》，第46卷，第6期。[11]低近远比(NFR)盲最小方差均衡器(=/spl epsi///spl epsi//sub //spl ges/1)。本文提出了基于累积量的MIMO-IFC盲均衡算法2和算法3。前者(算法2)可以提高MV均衡器的性能。基于前者的后者(算法3)在低NFR下的性能与Chi和Chen算法一样好，在高NFR下优于Chi和Chen算法和MV均衡器。仿真结果验证了所提算法的有效性。

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Blind equalization using cumulant based MIMO inverse filter criteria for multiuser DS/CDMA systems in multipath

Chi and Chen (see IEEE Trans. Signal Processing, July 2001) previously reported a blind equalization algorithm using cumulant based multi-input multi-output inverse filter criteria (MIMO-IFC) for mulituser DS/CDMA systems in multipath. Assuming that the user of interest is the weak user with signal power /spl epsi//sub 1/ and signal powers of all the interferers are identical, denoted /spl epsi/, the performance of Chi and Chen's algorithm is superior to that of Tsatsanis and Xu's(see IEEE Trans. Signal Processing, vol.46, no.11, p.3014-22, 1998) blind minimum variance (MV) equalizer for low near-far ratio (NFR) (=/spl epsi///spl epsi//sub 1//spl ges/1). In this paper, two blind equalization algorithms, called Algorithms 2 and 3, also using cumulant based MIMO-IFC are proposed. The former (Algorithm 2) can improve the performance of the MV equalizer. The latter (Algorithm 3) based on the former performs as well as Chi and Chen's algorithm for low NFR and outperforms Chi and Chen's algorithm and the MV equalizer for high NFR. Some simulation results are presented to support the efficacy of the proposed algorithms.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.