基于EPF滤波的单站无源定位算法及性能分析  

Performance analysis and algorithm of single observer passive location with EPF

作　　者：刘顺兰[1] 许天园[1] 

机构地区：[1]杭州电子科技大学通信工程学院,浙江杭州310018

出　　处：《机电工程》2010年第3期56-59,共4页Journal of Mechanical & Electrical Engineering

基　　金：杭州电子科技大学重中之重学科开放基金资助项目(ZZ050103-25)

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。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.

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 

分 类 号：TN975[电子电信—信号与信息处理]