空间相关环境下一种稳健的V-BLAST迭代检测算法

利用Householder变换，并结合WY表示形式，该文首先提出一种修正的Householder QR分解(M-H-QRD)算法，与排序QRD(S-QRD)检测算法相比:M-H-QRD检测算法在空间相关信道环境下具有稳健的数值特性；然后以此为基础，提出了一种基于M-H-QRD的V-BLAST迭代检测算法。仿真结果表明:在空间相关信道环境下，该算法比S-QRD检测算法、M-H-QRD检测算法在性能上具有明显的改善；与标准的V-BLAST算法相比，在高信噪比范围，迭代检测算法取得了与标准的V-BLAST算法几乎同等的性能，在中低信噪比范围，迭代检测算法优于标准的V-BLAST检测算法，同时数值特性比标准的V-BLAST检测算法更为稳健。

A Robust Iterative Detection Algorithm for V-BLAST over Spatially Correlated Channels

Utilizing the Householder transformation, and combining with the WY representation, a Modified Householder QR-Decomposition (M-H-QRD) algorithm is proposed firstly. In contrast to the sorted QRD (S-QRD) detection algorithm, the M-H-QRD detection algorithm has robust numerical property. Then an iterative detection algorithm for V-BLAST is proposed based on M-H-QRD. The simulation results show that the iterative detection algorithm can achieve obvious performance improvement over the S-QRD detection algorithm and the M-H-QRD detection algorithm. In contrast to the standard V-BLAST algorithm, the iterative detection algorithm has almost the same detection performance as it for high SNR, and outperforms it in the moderate and low SNR region with more robust numerical property.