A SOS subspace method for blind channel identification and equalization in bandwidth efficient OFDM systems based on receive antenna diversity

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955307

H. Ali, J. Manton, Y. Hua

引用次数: 22

Abstract

A blind second order statistical (SOS) subspace based channel identification and equalization technique is introduced and investigated for bandwidth efficient orthogonal frequency division multiplexing (OFDM) systems. A suitable zero-forcing linear equalizer (ZF-LE) is also proposed. Simulations show that identification and equalization is possible with only a small number of short length OFDM symbols.

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基于接收天线分集的高效频宽OFDM系统盲信道识别与均衡的SOS子空间方法

介绍并研究了一种基于盲二阶统计子空间的信道识别与均衡技术，用于带宽高效的正交频分复用(OFDM)系统。提出了一种合适的零强迫线性均衡器(ZF-LE)。仿真结果表明，仅使用少量短长度OFDM符号就可以实现识别和均衡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

信号处理

自引率

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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.