互补对LMS自适应算法在噪声消除中的应用实现

摘要

在接收超低频信号时,由于受到天线辐射效率和海水衰减的限制,噪声的存在是对有用信号最大的干扰.传统的算法可靠性受限,可以采用自适应算法来实现噪声消除.一般LMS算法收敛速度快但稳态误差大,通过搭建自适应滤波模型,对其改进算法即互补对LMS算法进行仿真.结果表明,这种自适应算法滤波后稳态误差较小,对噪声的消除具有良好的效果.%When receiving ELF signal,the existence of noise is the main interference to useful signals thanks to antenna radiation efficiency and seawater attenuation. Because the reliability of traditional algorithm is limited, we take adaptive algorithm into account to eliminate noise. Common LMS algorithm has fast convergence speed as well as large steady error, here we establish a model of adaptive filter and simulate its modified algorithm, which is named complementary pair algorithm. The simulation results show that the latter has better performances in noise eliminating as a result of tiny steady errors.