摘要
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。
In order to solve the problem that convergence rate of adaptive least - mean - square algorithm is comparatively decreases when encountered strong correlation input signal in the interference signal restrain processing of spread spectrum communication narrowband DS signal, a transform domain adaptive algorithm was proposed. The new algorithm did transform -domain variable step size adaptive filtering to the strong correlation input signal after achieving a certain degree of de - correlation by performing orthogonal transformation of strong correlation input signal. Simulation results show that new algorithm has faster convergence rate than original minimum mean square filtering algorithm without the bit error rate increasing when strong correlation signal is input.
出处
《无线通信技术》
2013年第3期1-4,9,共5页
Wireless Communication Technology
基金
陕西省自然科学基金资助(2011JM8038)
关键词
窄带干扰
最小均方滤波
变换域
误码率
narrowband interference
least mean squares
transform domain
bit error rate
