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针对空间光通信中随机信道传播时延导致接收信号符号间干扰的特殊性使分布式发射天线多入多出(MIMO)信号的线性检测算法更加复杂这一问题,提出了一种基于Neyman-Pearson(NP)融合准则的分布式天线信号检测算法。仿真结果表明,当接收信号同步时,NP算法具有较好的健壮性,其性能优于等增益合并(EGC)算法,与最佳合并(OC)算法相当;当接收信号异步时,NP算法要明显优于EGC和OC算法,抑制接收符号间干扰,能体现出分布式天线系统的空间分集性能。
Aiming at the problem that the linear detection algorithm of multi-input / multi-output (MIMO) signal of distributed transmit antenna is more complicated, the particularity of the inter-symbol interference caused by the delay of random channel propagation in space optical communication is proposed. Based on Neyman-Pearson (NP) fusion criteria for distributed antenna signal detection algorithm. The simulation results show that the NP algorithm has better robustness than the best merge (OC) algorithm when the received signal is synchronized, and its performance is better than that of the best combined (OCC) algorithm. When the received signal is asynchronous, the NP algorithm Obviously better than the EGC and OC algorithms, to suppress inter-symbol interference, can reflect the spatial diversity of distributed antenna system performance.