改进的LMS算法及其在雷达干扰对消系统中的应用

为提高雷达系统在复杂电磁环境下的抗干扰能力，对雷达干扰对消系统及其自适应滤波算法进行了分析,给出了一种改进的变步长LMS自适应滤波算法。该算法利用类Sigmoid函数去调节步长,减少了运算量,并在类Sigmoid函数中利用误差信号的自相关值调整步长,从而解决了算法较快的收敛速度与较小的稳态误差之间的矛盾,并且降低了算法对输入噪声的敏感性。将该算法应用到自适应干扰对消系统中进行了计算机仿真验证,计算机仿真结果与理论分析一致,表明了该算法具有一定的可行性和优越性。

A Refrained LMS Algorithm and Its Application in Radar Jamming Cancellation System

Radar Jamming Cancellation system and some adaptive filtering algorithms are studied. Some variable step size LMS algorithms in literature are analyzed, based on which an improved one is presented. For this algorithm the similar sigmoid function is used to adjust the step size, thus the quantity of operation is greatly reduced and in the similar sigmoid function the self-correlation value of the error signal is used to adjust the step size, so the contradiction between the convergence speed and steady-state error is solved. At the same time, the use of LMS algorithm decreases the noise sensitivity. The computer simulation results confirm the theoretical analysis and show that the algorithm is of some feasibility and superiority.