基于LMS算法的自适应滤波器在水声信号处理中的应用

Application of Adaptive Filter in the Underwater Acoustic Signals Processing Based on LMS Algorithm

针对水下环境通常是一种时变的强噪声信道,而采用传统的滤波器难以检测到有用信号的特点,利用LMS自适应谱线增强算法,构造了自适应滤波器。通过理论分析与仿真实验对该增强器进行了研究。结果表明:该谱线增强器收敛后均方误差小,提高了增强谱线和抑制非高斯噪声的能力。

Underwater acoustic environment is usually time-varying with strong noise. So it is difficult to detect the useful signal by using conventional filters. The Adaptive Line Enhancer has been developed based on the LMS algorithm. Theoretical analysis and simulation results have shown that this ALE has the excellent performances in enhancing line spectrum signals, suppressing non-gaussian noise , and low mean square eror when it converges.