Single Observer Passive Location using Phase Rate of Change with the extended kalman particle filter

被引：0
|
作者：
Xu Tianyuan [1 ]
Liu Shunlan [1 ]
机构：
[1] Hangzhou DianZi Univ, Coll Commun Engn, Hangzhou, Zhejiang, Peoples R China
来源：
2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL III | 2009年
关键词：
extended kalman particle filter (EPF); extended kalman filter (EKF); phase rate of change (PRC); single observer passive location;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A new single observer passive location method combining phase rate of change (PRC) with extended kalman particle filter (EPF) algorithm is presented. EPF is a method of particle filter (PF) using the extended kalman filter (EKF) as the importance function. The position of the target emitter is obtained by processing the phase difference information from the phase interferometer. The raw location results are rectified and smoothed by EPF algorithm to realize fast and high precision passive target's location. Simulation results show that the performance of EPF has faster and steady convergence speed, better filtering effect and better location precision than EKF.
引用
收藏
页码：65 / 68
页数：4
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