| 高世杰,王彪,朱雨男,陈宇,徐千驰,王武.基于最大相关熵准则的水下生物脉冲噪声消除方法[J].声学技术,2021,40(5):717~722 |
| 基于最大相关熵准则的水下生物脉冲噪声消除方法 |
| A method of eliminating underwater biological impulse noise based on maximum correntropy criterion |
| 投稿时间：2020-06-08 修订日期：2020-09-05 |
| DOI：10.16300/j.cnki.1000-3630.2021.05.019 |
| 中文关键词: 脉冲噪声消除 自适应干扰消除 稀疏信道估计 抗干扰通信 自适应滤波器 |
| 英文关键词: impulse noise cancellation adaptive interference cancellation sparse channel estimation anti-interference communication adaptive filter |
| 基金项目:国家自然科学基金资助项目（11574120）。 |
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| 中文摘要: |
| 近海生物噪声表现为脉冲噪声，这一类噪声显著降低了水声通信系统的性能。结合水声信道的稀疏特性，提出一种基于最大相关熵准则的级联滤波器算法，该算法实现了脉冲噪声的消除及稀疏信道估计。第一级自适应滤波器完成对噪声的消除工作，第二级滤波器对去噪后的信号进行稀疏信道估计。该方法的优势在于无需知道信号和噪声的相关信息。仿真结果表明，提出的方法比单一的滤波器结构和传统信道估计算法性能更加优越。 |
| 英文摘要: |
| Offshore biological noise appears as impulse noise. This type of noise significantly reduces the performance of underwater acoustic communication systems. Combined with the sparse characteristics of underwater acoustic channels, a cascade filter algorithm based on maximum correntropy criterion is proposed to realize impulse noise elimination and sparse channel estimation. The first-stage adaptive filter completes noise elimination, and then the second-stage filter performs sparse channel estimation for the signals after denoising. The advantage of this method is no need to know the relevant information about signal and noise. Simulation results show that the proposed method is better than the single filter structure and the traditional channel estimation algorithm. |
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