摘要
受到强干扰影响的小信号通常难于有效检测。在分析递推最小二乘算法(RLS)原理及其几种改进形式的基础上,采用自适应方法将已检测出的大信号与原混叠信号对消,降低大信号对小信号的遮蔽作用,再进行小信号的检测。最后通过仿真证明,该方法能够在较小失真的情况下,有效检测出被大调幅信号干扰下的小调频信号;同时分别比较了各种算法的优劣,得出基于可变遗忘因子的RLS(VFF-RLS)算法不仅具有较快的收敛速度,而且收敛之后具有很好的平稳性能。
It is difficult to detect the small-signal due to the influence of strong interference signals.Based on the analysis of recursive Least Squares Algorithm（RLS） principle and its improved forms,adaptive cancellation is performed on the detected large-signal with the original aliasing signal to reduce the shielding effect by the large signal,then the small signal can be detected.The simulation shows that this method can effectively detect small FM signal with large AM signal interference in little distortion;the pros and cons of various algorithms are also compared,it is concluded that the VFF（Variable Forgetting Factor）-RLS algorithm bears not only a faster convergence rate,but also good stability after the convergence.
出处
《信息与电子工程》
2012年第2期206-209,共4页
information and electronic engineering
