针对直接序列扩频通信系统窄带干扰抑制中,最小均方滤波算法在遇到强相关输入信号时收敛速度较慢的问题,提出一种变换域变步长自适应滤波算法。新算法通过将强相关输入信号进行正交变换,实现一定程度上的解相关之后再在变换域进行变步长自适应滤波。仿真结果表明,当输入强相关信号时,新算法在不增加误码率的情况下,比原有最小均方滤波算法有着更快的收敛速度。 Aiming at the problem of narrow-band interference suppression in direct sequence spread spectrum communication systems, the least-mean square (LMS) filtering algorithm encounters a slow convergence rate in the case of strong correlation input signals, a variable step-size adaptive filtering algorithm is proposed. The new algorithm performs a step-by-step adaptive filtering on the transform domain after some degree of de-correlation by orthogonally transforming the strongly correlated input signal. The simulation results show that the new algorithm has a faster convergence rate than the original least mean square algorithm without increasing the bit error rate when the strong correlation signal is input.