典型水声信道盲均衡算法比较研究

Comparative of Typical Blind Equalization Algorithms for Underwater Acoustic Channels

水声通信系统因所处的环境复杂,水声信道均衡是一个非常重要的环节,在简介典型的4种盲均衡算法原理的基础上,即最小均方恒模算法(Least Mean Square Constant Modulus Alogorithm,LMS-CMA)、修正恒模算法(Modified Constant Modulus Alogorithm,MCMA)、判决引导(Decision Directed,DD)算法、双模式切换算法等,采用典型实数水声信道和混合相位的复数水声信道两种模型进行仿真测试,实验结果表明,相对于LMS-CMA和MCMA算法,双模式切换算法具有更快的收敛速度和更小的稳态剩余误差;相对于DD算法,双模式算法具有更佳的稳健性.

Because of the complexity of underwater environment,underwater acoustic channel equalization is a very important part of underwater acoustic communication system.In this paper,four typical blind equalization algorithms are briefly introduced:Least Mean Square Constant Modulus Alogorithm(LMS-CMA),Modified Constant Modulus Alogorithm(MCMA),Decision Directed(DD)algorithm and dual-mode switching algorithm,and then typical underwater acoustic real channel and mixed-phase complex underwater acoustic channel are adopted for simulation test.Experimental results show that the dual-mode switching algorithm has faster convergence speed and smaller steady-state residual error than LMS-CMA and MCMA algorithms,and has better robustness than DD algorithm.