Generalized feedback detection for spatial multiplexing multi-antenna systems

被引：8

作者：

Cui, Tao ^{[1
]}

Tellambura, Chintha ^{[2
]}

机构：

[1] CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA

[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada

来源：

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2008年 / 7卷 / 02期

关键词：

MIMO; feedback decoding; decision feedback detector;

D O I：

10.1109/TWC.2008.060513

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 a unified detection framework for spatial multiplexing multiple-input multiple-output (MIMO) systems by generalizing Heller's classical feedback decoding algorithm for convolutional codes. The resulting generalized feedback detector (GFD) is characterized by three parameters: window size, step size and branch factor. Many existing MIMO detectors are turned out to be special cases of the GFD. Moreover, different parameter choices can provide various performance-complexity tradeoffs. The connection between MIMO detectors and tree search algorithms is also established. To reduce redundant computations in the GFD, a shared computation technique is proposed by using a tree data structure. Using a union bound based analysis of the symbol error rates, the diversity order and signal-to-noise ratio (SNR) gain are derived analytically as functions of the three parameters; for example, the diversity order of the GFD varies between 1 and N. The complexity of the GFD varies between those of the maximum-likelihood (ML) detector and the zero-forcing decision feedback detector (ZF-DFD). Extensive computer simulation results are also provided.

引用

页码：594 / 603

页数：10

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