基于改进基追踪去噪的水声单载波频域均衡信道估计

发布时间：2018-10-16 18:52

【摘要】：针对低信噪比下单载波频域均衡信道估计精度低导致均衡效果差的问题,利用基追踪去噪方法估计稀疏信道有效抽头具有的稳定特性,提出了一种在平稳水声信道条件下单载波频域均衡系统中应用的改进基追踪去噪稀疏信道估计方法。方法利用延拓循环前缀作为导频进行多次信道估计,将估计结果累积平均,再采用门限判决提取有效抽头得到信道估计值,从而提高了稀疏信道的估计精度。通过合理选择循环前缀延拓次数,尽可能地降低导频长度对频带利用率的影响。仿真对比分析了改进基追踪去噪算法与匹配滤波、最小平方以及传统基追踪去噪信道估计算法的性能以及对单载波频域均衡系统误码率的影响。仿真实验结果表明,改进基追踪去噪信道估计算法具有更优的估计精度,在单载波频域均衡系统中可以提高约3 dB的接收信噪比增益。
[Abstract]:In order to solve the problem of low signal-to-noise ratio (SNR), the low precision of carrier frequency domain equalization channel estimation results in poor equalization effect, the stability of sparse channel effective tap is estimated by base tracking de-noising method. An improved basis tracking de-noising sparse channel estimation method is proposed for stationary underwater acoustic channel conditional order carrier frequency domain equalization system. Methods the extended cyclic prefix is used as pilot to carry out multiple channel estimation, and the cumulative average of the estimation results is obtained, and then the threshold decision is used to extract the effective tap to obtain the channel estimation value, thus improving the estimation accuracy of the sparse channel. The influence of pilot length on frequency band utilization is reduced as far as possible by rational selection of cyclic prefix extension times. The performance of the improved base tracking de-noising algorithm, matched filtering, least square and traditional basis tracking de-noising channel estimation algorithm and its influence on the BER of single-carrier frequency domain equalization system are compared and analyzed by simulation. Simulation results show that the improved base tracking de-noising channel estimation algorithm has better estimation accuracy and can improve the SNR gain of about 3 dB in single-carrier frequency-domain equalization system.
【作者单位】：海军潜艇学院;
【基金】：中国博士后基金资助项目(2014M552658)
【分类号】：TN929.3

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