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机构地区:[1]江西理工大学信息工程学院,江西赣州341000
出 处:《电视技术》2014年第7期149-152,共4页Video Engineering
摘 要:将基于信号功率排序的QR分解算法与最后检测层分集增益最大算法相结合,提出一种改进的SQRD(Sorted QR Decomposition)算法。该改进算法在串行干扰消除SQRD算法的基础上最大化了分集增益。这样既能保证每次检测时的最先检测层信号功率最大,又能得到最后检测层的最大分集增益。同时采用了串行干扰消除,使后面的信道矩阵维数不断减少,降低了检测复杂度。仿真结果表明,改进的SQRD算法在误码性能上取得了较好的表现,尤其在接收天线数较大时误码性能得到明显改善。改进的算法在复杂度和性能上得到较好的平衡,很适合VBLAST系统的信号检测。An improved algorithm of SQRD (Sorted QR Decomposition) that combined the signal power sorted QR decomposition algorithm with maximum diversity gain of finally detection layer is proposed. The improved algorithm maximizes diversity gain based on SQRD algorithm used Serial interference can- cellation. This not only can ensure that the first layer of signal power is the largest in each inspection, but also can get maximum diversity gain of final detec- tion layer. At the same time, serial interference elimination can make the back of the channel matrix dimension decreasing, and the complexity of detection is reduced. The simulation results show that the new algorithm gets better performance, especially when the receiving antenna number is larger, error per- formance is obviously improved. As complexity and performance get better balanced, it is very suitable for signal detection of VBLAST system.
关 键 词:QR分解 SQRD 分集增益 干扰消除 信号功率
分 类 号:TN911[电子电信—通信与信息系统]
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