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联合SIC和QRD-M树搜索的低复杂度VBLAST检测算法 被引量:4

Joint SIC and QRD-M Tree-Search Detection Algorithms with Low Complexity in VBLAST Systems
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摘要 联合SIC和QRD-M树搜索,提出一种低复杂度的VBLAST检测算法:SQRM-SIC算法。该算法基于信道矩阵的排序QR分解(SQRD),首先对搜索树前几层采用QRD-M检测,然后对后续层进行SIC检测,获得了检测信号列表。在所提算法基础上,通过修改SQRD算法中的排序规则,得到MSQRM-SIC算法。复杂度分析和性能仿真表明,通过调整参数,SQRM-SIC算法和MSQRM-SIC算法都可获得较好的复杂度和性能折衷。其中,后者性能明显优于前者;且后者与QRDM算法相比,可以有效降低复杂度,而基本不损失性能。 Joint SIC and QRD-M (SQRM-SIC) algorithm is proposed for VBLAST system as a low complexity detection algo- rithm. The proposed algorithm firstly decomposes channel matrix using sorted QR decomposition ( SQRD), then detects the first several layers by QRD-M and the remainder by SIC ,finally obtains detected signal list. By changing the sorting rule of SQRD ,a modified SQRM- SIC (MSQRD-SIC) algorithm is presented. The analysis of complexity and computer simulation demonstrates that two algorithms achieve good compromise between complexity and detection performance by adjusting some specific parameters. Furthermore ,the MSQRM-SIC al- gorithm significantly improves detection performance compared with the SQRM-SIC algorithm, and efficiently reduces detection complexity without obvious performance loss compared with QRD-M algorithm.
出处 《信号处理》 CSCD 北大核心 2009年第5期746-750,共5页 Journal of Signal Processing
关键词 VBLAST系统 连续干扰抵消(SIC) QRD-M树搜索 排序QR分解 VBLAST systems serial interference cancellation (SIC) tree search based on QR decomposition and M algorithm sorted QR decomposition
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同被引文献29

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