基于EPF滤波的单站无源定位算法及性能分析*

作者：刘顺兰，许天园 日期：2010-06-21/span> 浏览：3026 查看PDF文档

基于EPF滤波的单站无源定位算法及性能分析*
刘顺兰，许天园
（杭州电子科技大学 通信工程学院，浙江 杭州 310018）

摘要：为了实现快速高精度单站无源定位，研究了定位算法，提出了相位变化率(PRC)与扩展卡尔曼粒子滤波(EPF)算法相结合的一种新的单站无源定位方法。该方法通过相位变化率(PRC)法得出了目标辐射源的粗略位置，然后采用EPF滤波算法对粗略定位结果进行了修正和平滑，逐步估计出目标的精确位置，实现了对辐射源目标的快速高精度无源定位。仿真结果表明，与传统的EKF滤波算法相比，基于EPF滤波的单站无源定位算法收敛更快、更稳定，滤波效果更好，定位精度更高。
关键词：粒子滤波；扩展卡尔曼滤波；相位变化率；单站无源定位
中图分类号：TN975文献标识码：A文章编号：1001-4551(2010)03-0056-04

Performance analysis and algorithm of single observer passive location with EPF

LIU Shunlan, XU Tianyuan
(College of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract: Aiming at realizing fast and high precision single passive location, location algorithm was studied, and a new single observer passive location method combining phase rate of change(PRC) with extended Kalman particle filter(EPF) algorithm was presented. The raw position of the target emitter was obtained by PRC method. The raw location results were rectified and smoothed by EPF algorithm to realize fast and high precision passive targets location. Simulation results show that the performance of algorithm based on EPF has faster and more steady convergence speed, better filtering effect and better location precision than EKFs.
Key words: particle filter(PF); extended Kalman filter(EKF); phase rate of change(PRC); single observer passive location