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Improved iterative breadth-first detection algorithms for MIMO wireless systems
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作者 郑武 Song Wentao +1 位作者 Zhang Haibin Xu Youyun 《High Technology Letters》 EI CAS 2007年第2期184-188,共5页
A reduced-complexity detection algorithm is proposed, which is applied to iterative receivers for multiple-input multiple-output (MIMO) systems. Unlike the exhaustive search over all the possible trans-mitted symbol... A reduced-complexity detection algorithm is proposed, which is applied to iterative receivers for multiple-input multiple-output (MIMO) systems. Unlike the exhaustive search over all the possible trans-mitted symbol vectors of the optimum maximum a posteriori probability (MAP) detector, the new algo-rithm evaluates only the symbol vectors that contribute significantly to the soft output of the detector. The algorithm is facilitated by carrying out the breadth-first search on a reconfigurable tree, constructed by computing the symbol reliability of each layer based on zero-forcing criterion and reordering the symbols according to the symbol reliabilities. Simulations are presented and the good performance of the new algo-rithm over a quasi-static Rayleigh channel even for relatively small list sizes are proved. 展开更多
关键词 concatenated codes MIMO systems BLAST iterative decoder Turbo codes
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