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| A Low Complexity Soft-Output MIMO Sphere Decoding Algorithm |
| LU Bing-Shan-1, LIU Wei-1, YU Hui-1, LUO Han-Wen-1, WANG Hai-Long-2 |
| （1.School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2.Shanghai Leadcore Technology Co., Ltd., Shanghai 201206, China） |
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Abstract This paper proposed a novel low complexity soft output sphere decoding algorithm for multiple-input multiple-output (MIMO) system. Based on the traditional Dijkstra sphere decoding algorithm, the paper uses look-up table and single tree-search to update soft value (LLR) mechanism, improving enumeration of points and in or out of stack method in Dijkstra sphere decoding, reducing the cost of storage. Without reducing the performance of the system, the proposed algorithm can reduce the complexity of the receiver efficiently. The simulation results show that the proposed sphere decoding algorithm and maximum likelihood(ML) decoding algorithm are almost of the same performance with different modulation mode .Meanwhile the complexity of algorithm is reduced sharply.
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Received: 03 November 2011
Published: 30 November 2012
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