[1]徐茂格,宋耀良,刘力维.基于修正扩展卡尔曼滤波和粒子滤波的混沌信号检测与跟踪[J].南京理工大学学报(自然科学版),2007,(04):514-517.
 XU Mao-ge,SONG Yao-liang,LIU Li-wei.Chaotic Signal Detection and Track Based on Modified Extended Kalman Filter and Particle Filtering[J].Journal of Nanjing University of Science and Technology,2007,(04):514-517.
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基于修正扩展卡尔曼滤波和粒子滤波的混沌信号检测与跟踪
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2007年04期
页码:
514-517
栏目:
出版日期:
2007-08-30

文章信息/Info

Title:
Chaotic Signal Detection and Track Based on Modified Extended Kalman Filter and Particle Filtering
作者:
徐茂格1 宋耀良1 刘力维2
南京理工大学1. 电子工程与光电技术学院; 2. 理学院, 江苏南京210094
Author(s):
XU Mao-ge1SONG Yao-liang1LIU Li-wei2
1.School of Electronic Engineering and Optoelectronic Technology;2.School of Sciences,NUST,Nanjing 210094,China
关键词:
混沌信号 信号检测 扩展卡尔曼滤波 粒子滤波
Keywords:
chaot ic signal signal detect ion ex tended Ka lman filter part icle filtering
分类号:
TN911.23
摘要:
针对恶劣环境下混沌信号的检测与跟踪这一难题,以及基于一阶线性化的扩展卡尔曼滤波(EKF)技术存在的严重退化现象,提出了具有较强稳健性的修正EKF技术,获得了与Un-scented Kalman filter相匹配的性能。针对上述两种滤波方法在低信噪比情况下存在跟踪误差大的问题,为此引入了新颖的粒子滤波技术并且分析了该技术的可行性,最后仿真实验验证了该技术在低信噪比环境下的优越性。
Abstract:
In v iew of the difficult problem in the chao tic signal detection and track in the abom inable env ironm ents, and the degenerate phenomenon o f the trad itional extended Kalman f ilter ( EKF ) w hich is based on the f irst order lineariza tion, amod if ied EKF is developed that hasmuch better robustness than the traditiona l EKF and gets a lmost the same performance as the Unscented Ka lman filter. The two filters ment ioned above experience large track error in the low signal no ise ratio ( SNR) , and a novel particle filter wh ich can be used in the non linear and non-Gaussian env ironments is introduced and a lso its feasibility is ana ly zed. The simu lation demonstrates the superiorit ies of particle filtering in the low SNR.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 南京理工大学博士研究生创新培养基金
作者简介: 徐茂格( 1982- ), 男, 四川遂宁人, 博士生, 主要研究方向: 混沌理论与应用、统计信号处理、通信信号处理, E-m ail: xum aoge@ njust. edu. cn;
通讯作者: 宋耀良( 1960- ), 男, 江苏无锡人, 博士, 教授, 博士生导师,主要研究方向: 通信与雷达系统, 混沌理论与应用, 粒子滤波, E-m ail: ylsong@ mail. njust. edu. cn。
更新日期/Last Update: 2007-08-30