基于改进BOMP算法的水声信道估计

近年来,水声信道估计主要是基于稀疏模型展开.水声介质的非均匀性等使声线以簇的形式传播,导致水声信道展现出块结构稀疏特性.本文针对信道的块结构稀疏特性,在OFDM通信系统中,提出使用改进的BOMP算法进行水声信道估计.BOMP算法一次筛选1个最大相关块,改进的算法一次挑选t个非零块,算法重构时间将降低t倍.仿真结果表明:改进的BOMP算法误码率和重构时间要优于传统的LS、基于压缩感知的OMP算法;在不降低BOMP算法重构精度的前提下,将重构时间降低t倍.

Channel estimation of UWA based on improved BOMP algorithm

Recently, the underwater acoustic channel estimation is mainly based on the sparse model. Underwater acoustic medium inhomogeneity etc make voice spread in the form of cluster, which result the underwater acoustic channel show as block structure sparse features. In OFDM communication system, based on the block structure sparse characteristics. This article proposed to use the improved BOMP algorithm to estimate the underwater acoustic channel. At a time, the BOMP algorithm filtrate a maximum relative block, but the improved algorithm can select t non-zero block, which reduce the algorithm reconstruction time t Times. The simulation results show that the improved BOMP algorithm ber and recon-struction time are superior to the traditional LS, the OMP algorithm based on compression perception; without reducing BOMP algorithm reconstruction precision, reduce reconstruction time t Times.