一种基于SVD的射频收发天线选择算法

基于线性检测的空间复用(SM)系统提出了一种射频天线选择算法,该算法以最小化错误概率为目标,利用信道矩阵的奇异值分解(SVD)所得到的左奇异和右奇异矢量实现发端和收端的射频天线选择,且不需要改变系统原有的检测算法。该算法可以用于收发任一端或两端同时使用,不采用遍历搜索,与传统搜索算法相比实现复杂度低。仿真证明将该算法应用于链路任意一端相比与传统算法都可以获得更多的分集增益和阵列增益。

SVD-based RF Transceiver Antenna Selection Algorithm

A RF antenna selection algorithm for spatial multiplexing systems with linear receivers was proposed, which aimed at minimizing error probability. Based on Singular Value Decomposition (SVD), left and right singular vectors were used to enable the selection. The algorithm could be flexibly applied to either transmitter or receiver or both of them. Compared with conventional algorithms with exhaustive search, lower implement complexity was achieved for no search required. Simulations demonstrate that the proposed algorithm obviously outperforms the conventional algorithm in both diversity and array gain under any situations.