一种改进的排序QR分解MIMO检测算法

An Improved Sorted QR Decomposition MIMO Detection Algorithm

  • 摘要: 提出了改进的排序QR分解MIMO检测算法,并对其性能进行了分析.该算法针对系统采用排序QR分解检测算法时误码率较高的不足,对信道矩阵按列进行正交变换,避免了求信道矩阵的上三角矩阵,并且仅对信道矩阵按列2—范数模值由小到大进行1次排序.在检测过程中,采用了并行处理的思想,将部分判决信号进行反馈,同时消除接收信号中的干扰,使系统检测性能得到了明显改善.在多散射物的无线通信环境下进行了仿真实验,结果表明,与传统的SQRD算法相比,所提算法在计算复杂度略微下降的情况下,检测性能得到提升.

     

    Abstract: An improved sorted QR decomposition(ISQRD) MIMO detection algorithm is proposed and its performance is analyzed.When the sorted QR decomposition detection(SQRD) algorithm is used in detection,high bit error rate(BER) may occur.In order to solve this problem,the ISQRD algorithm transforms the channel matrix column orthogonally to avoid solving the upper triangular matrix,and sorts the channel matrix from small to big by 2-norm just one time.In the process of detection,a parallel processing method is used to feedback a part of the judged signals and to eliminate interferences in the received signals,and the detecting performance is improved distinctly.Simulation is made in the wireless communication environment where lots of scattering objects exist,and the results show that computation complexity of the proposed algorithm is reduced and the detection performance is improved dramatically in comparison with the traditional sorted QR decomposition algorithm.

     

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