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多输入多输出(MIMO)系统可以有效提高频谱效率和系统容量。基于MIMO系统重点研究了无线光通信垂直分层空时系统(V-BLAST)检测算法。首先分析了最大似然、线性迫零、最小均方误差以及排序干扰抵消等典型的传统检测算法,基于OOK调制和4PPM调制对采用不同检测算法的系统差错性能进行了仿真对比,最后对Turbo码与BLAST技术相结合构成的新系统采用了软输入软输出(SISO)迭代检测译码方案。仿真结果表明,分层空时检测算法中性能最优的是ML,其次是SISO-MAP,ZF算法性能最差;Turbo-BLAST系统可以有效提高无线光通信系统的抗干扰性能。
Multiple Input Multiple Output (MIMO) system can effectively improve the spectral efficiency and system capacity. Based on MIMO system, we focus on the wireless optical communication vertical layered space-time system (V-BLAST) detection algorithm. Firstly, the typical traditional detection algorithms such as maximum likelihood, linear zero-forcing, minimum mean square error and sequencing interference cancellation are analyzed. The system error performance using different detection algorithms based on OOK modulation and 4PPM modulation is simulated and compared. Finally, The new system, combined with BLAST technology, uses a soft input, soft output (SISO) iterative detection decoding scheme. The simulation results show that ML is the best performance in layered HST detection algorithm, followed by SISO-MAP, and the ZF algorithm has the worst performance. Turbo-BLAST system can effectively improve the anti-jamming performance of wireless optical communication system.