相关衰落MIMO信道下的联合天线子集选择

针对相关衰落MIMO信道下的联合天线子集选择,提出了2种选择算法。首先,在已知精确信道知识的情况下,选择算法选择以使接收数据流的SNR最大化和瞬时误差概率即误符号率最小化的天线子集,从而得到平均SNR增益改善的解析表达式;其次,当信道迅速变化时,在已知信道统计知识的情况下,选择算法选择以使全部可能信道实现的平均误差概率最小化的天线子集,从而得到编码增益,在极端相关信道条件下,也可以得到分集增益;基于2种选择算法的性能分析和仿真结果验证了本文提出算法的有效性。

Joint Antenna Subset Selection in Correlated Fading MIMO Channels

Two selection algorithms for joint antenna subset selection in correlated fading MIMO channels are proposed. Firstly,when the accurate knowledge for channel is known,the selection algorithm chooses the antenna subset that maximizes the SNR of the received data stream and minimizes the instantaneous probability of error,i.e. the symbol error rate,so as to obtain the analytical expressions for the gain improvements in average SNR. Secondly,when the channel changes rapidly and the statistical knowledge for channel is known,the selection algorithm chooses the antenna subset that minimizes the average probability of error over all possible channel realizations,so as to obtain the coding gain. The diversity gain may also be obtained under the condition of extremely correlated channel. The validity of the proposed algorithm is verified by the performance analyses and simulation results based on two selection algorithms.