时变MIMO信道的递归半盲均衡器

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955279

M. Enescu, M. Sirbu, V. Koivunen

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引用次数: 6

摘要

本文采用递归滤波方法研究时变信道的半盲多输入多输出均衡问题。基于成本207项目中描述的现实通道模型，我们导出了一个状态空间模型，该模型可以及时表征通道的行为。采用卡尔曼滤波方法进行信道估计和跟踪，采用MMSE准则推导的决策反馈均衡器进行均衡。

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Recursive semi-blind equalizer for time-varying MIMO channels

This paper addresses the problem of semi-blind multi-input multi-output (MIMO) equalization of time-varying channels by employing recursive filtering methods. Based on a realistic channel model described in COST 207 project, we derive a state-space model that characterizes the behavior of the channel in time. The channel estimation and tracking are performed using a Kalman filter method, and a decision feedback equalizer derived using MMSE criterion is used to perform the equalization.

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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.