基于判决反馈均衡的水声信道估计与通信算法

发布时间：2019-07-24 07:16

【摘要】：在分析基于最小均方信道估计算法的基础上,对计算量较小的匹配追踪算法进行改进,引入路径门限调整机制以克服虚假路径造成的不良影响,利用重要路径权系数的2次迭代修正方法,进一步提高了水声稀疏信道的估计精度;借助于信道估计值进行均衡系数的解算,利用判决反馈均衡器(DFE)的输出信号对信道估计质量进行实时评估,提出了一种基于DFE的信道长度自适应选择的信道估计算法,同时,通过仿真和实地实验验证了其有效性.结果表明,所提出的算法能够在未知水声环境下实现对信道估计算法的自适应调整以及对预估信道长度的合理选择,以较高的计算效率而实现对水声信道的精确估计,满足未知水声信道环境下的精确信道估计及通信应用需要.
[Abstract]:Based on the analysis of the least mean square channel estimation algorithm, the matching tracking algorithm with less computation is improved, the path threshold adjustment mechanism is introduced to overcome the adverse effects of false paths, and the second iterative correction method of important path weight coefficient is used to further improve the estimation accuracy of underwater acoustic sparse channel. With the help of channel estimation, the quality of channel estimation is evaluated in real time by using the output signal of decision feedback equalizer (DFE). A channel length adaptive channel estimation algorithm based on DFE is proposed. At the same time, its effectiveness is verified by simulation and field experiments. The results show that the proposed algorithm can realize the adaptive adjustment of the channel estimation algorithm and the reasonable selection of the estimated channel length in the unknown underwater acoustic environment, and realize the accurate estimation of the underwater acoustic channel with high computational efficiency, which can meet the needs of the accurate channel estimation and communication application in the unknown underwater acoustic channel environment.
【作者单位】：海军工程大学电子工程学院;中国电子科技集团公司第二十九研究所;
【基金】：国家自然科学基金资助项目(61101205) 海军工程大学自然科学基金资助项目(HGDQNJJ13019)
【分类号】：TN911.5

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