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Iterative Reconfigurable Tree Search Detection of MIMO Systems

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 051269 (2006) Cite this article

Abstract

This paper is concerned with reduced-complexity detection, referred to as iterative reconfigurable tree search (IRTS) detection, with application in iterative receivers for multiple-input multiple-output (MIMO) systems. Instead of the optimum maximum a posteriori probability detector, which performs brute force search over all possible transmitted symbol vectors, the new scheme evaluates only the symbol vectors that contribute significantly to the soft output of the detector. The IRTS algorithm is facilitated by carrying out the search on a reconfigurable tree, constructed by computing the reliabilities of symbols based on minimum mean-square error (MMSE) criterion and reordering the symbols according to their reliabilities. Results from computer simulations are presented, which proves the good performance of IRTS algorithm over a quasistatic Rayleigh channel even for relatively small list sizes.

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Authors and Affiliations

  1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai, 200030, China

    Wu Zheng, Wentao Song, Hanwen Luo & Xingzhao Liu

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  1. Wu Zheng
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  2. Wentao Song
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  3. Hanwen Luo
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  4. Xingzhao Liu
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Correspondence to Wu Zheng.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Zheng, W., Song, W., Luo, H. et al. Iterative Reconfigurable Tree Search Detection of MIMO Systems. EURASIP J. Adv. Signal Process. 2007, 051269 (2006). https://doi.org/10.1155/2007/51269

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