α稳定分布噪声下一种稳健加权滤波的统一框架

发布时间：2018-06-07 04:40

本文选题：α稳定分布噪声 + 参数估计　；参考：《系统工程与电子技术》2016年10期

【摘要】：针对传统滤波方法在α稳定分布噪声环境下性能退化的问题,从加权Myriad滤波以及加权Merid滤波方法出发,以M估计理论为基础,推导得到稳健加权(robust weighted,RW)滤波方法的统一算法结构,并据此提出了基于RW滤波的新算法,即基于稳健加权滤波的统一框架,从而将加权Myriad、加权Merid以及基于广义柯西分布的加权滤波器统一起来。此外,针对线性调频(linear frequency modulation,LFM)信号采用基于RW的LVD(RW-LVD)方法估计其参数,并根据估计性能对RW方法的抑噪效果进行分析。仿真结果表明,与基于加权Myriad滤波、加权Merid滤波以及基于广义柯西分布的加权滤波等多种方法相比,在强脉冲噪声下RW滤波方法能有效抑制脉冲噪声,并具有良好的稳健性。
[Abstract]:Aiming at the problem of performance degradation of traditional filtering methods in 伪 -stable distributed noise environment, the unified algorithm structure of robust weighted Myriad filtering method is derived from weighted Myriad filter and weighted Merid filtering method based on M estimation theory. A new algorithm based on RW filtering is proposed, which is a unified framework based on robust weighted filtering, which unifies weighted Myriad, weighted Merid and weighted filters based on generalized Cauchy distribution. In addition, the RW-based LVD- RW-LVD method is used to estimate the parameters of linear frequency modulation-LFM signals, and the noise suppression effect of RW method is analyzed according to the estimation performance. The simulation results show that compared with weighted Myriad filtering, weighted Merid filtering and weighted filtering based on generalized Cauchy distribution, RW filtering can suppress impulse noise effectively and has good robustness.
【作者单位】：西安电子科技大学电子工程学院;
【基金】：国家自然科学基金(61201286) 陕西省自然科学基金(2014JM8304)资助课题
【分类号】：TN911.7;TN713

【相似文献】