α稳定分布噪声下基于FHN模型的UWB-IR信号检测  

UWB-IR signal detection based on FHN model in α stable distribution noise

作　　者：蒋磊[1] 陈博文[1,2] 张群 李涛[1] JIANG Lei;CHEN Bowen;ZHANG Qun;LI Tao(Information and Navigation College,Air Force Engineering University,Xi’an 710077,China;Unit 735000 of the PLA,Jiuquan 735000,China)

机构地区：[1]空军工程大学信息与导航学院 [2]中国人民解放军95844部队

出　　处：《系统工程与电子技术》2018年第7期1423-1428,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61471386)资助课题

摘　　要：针对传统FitzHugh-Nagumo(FHN)模型检测方法在α稳定分布噪声条件下检测性能退化的问题,在α稳定分布的统计特性基础上,将三倍分散系数异常值剔除准则引入FHN模型检测方法,提出基于三倍分散系数-FHN模型的超宽带冲激无线电(ultra wideband-impulse radio,UWB-IR)检测方法。此外,对传统三倍分散系数准则进行改进,使用样本分位数法对α稳定分布参数进行估计,避免了传统三倍分散系数准则对α稳定分布参数先验信息的依赖,使其适合全盲条件下的UWB-IR信号检测。仿真实验表明,该算法能有效抑制α稳定分布噪声中的强脉冲,可较好地重构UWB-IR信号波形,实现了强α稳定分布噪声条件下UWB-IR信号的有效检测。To solve the problem that the ultra wideband-impulse radio（UWB-IR）signal detection performance of the traditional detection method based on FitzHugh-Nagumo（FHN）will be deteriorated inαstable distribution noise,the triple scale parameter criterion for eliminating exceptional values is introduced into the FHN model,a UWB-IR detection method based on triple scale parameters and the FHN model is proposed.In addition,the sample quintiles method is used to estimate the parameter ofαstable distribution and improve the traditional triple scale parameter criterion,it overcomes the defect that the traditional triple scale parameter criteria rely on the prior information ofαstable distribution parameters.Simulation results show that the proposed algorithm can suppress the strong pulse effectively inαstable distributed noise,the UWB-IR signal waveform can be reconstructed preferably,the UWB-IR signal can be detected in strongαstable distributed noise effectively.

关 键 词：超宽带 Α稳定分布 FitzHugh-Nagumo模型 三倍分散系数准则 

分 类 号：TN911.23[电子电信—通信与信息系统]