Adaptive, iterative, reduced-rank equalization for MIMO channels

被引：0

作者：

Sun, Y ^{[1
]}

Honig, ML ^{[1
]}

Tripathi, V ^{[1
]}

机构：

[1] Northwestern Univ, Dept Elect & Comp Engn, Evanston, IL 60208 USA

来源：

2002 MILCOM PROCEEDINGS, VOLS 1 AND 2: GLOBAL INFORMATION GRID - ENABLING TRANSFORMATION THROUGH 21ST CENTURY COMMUNICATIONS | 2002年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present an adaptive iterative (turbo) Decision-Feedback Equalizer (DFE) for Multi-Input Multi-Output (MIMO) channels with Intersymbol Interference (ISI) and multiple receiver antennas. After initial training, the filters are computed directly from the received data and soft outputs of the MAP decoder according to a Least Squares (LS) cost criterion. The performance is compared with reduced-rank LS estimation methods, based on the Multistage Wiener Filter (MSWF). Numerical results show that the reduced-rank turbo DFE provides a substantial performance improvement relative to the full-rank turbo DFE with limited training. In addition, the reduced-rank filters can significantly reduce the computational complexity when the number of filter coefficients is large.

引用

页码：1029 / 1033

页数：5

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