外辐射源定位中的修正增益扩展卡尔曼滤波  

The Modified Gain Extended Filter Algorithm for Passive Location Based on Non-Cooperative Illuminator

作　　者：王鼎[1] 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002

出　　处：《电子信息对抗技术》2008年第5期13-17,共5页Electronic Information Warfare Technology

摘　　要：针对基于外辐射源的固定单站无源定位问题,给出了一种对运动目标进行定位跟踪的改进型滤波算法。文中首先建立目标角度信息、直达波与散射波的时间差信息以及多普勒频移信息的观测方程,并推导了每个观测方程的修正增益函数,然后利用多个时刻的观测值扩充了观测方程,从而给出了一种基于扩充观测方程的修正增益扩展卡尔曼滤波(MGEKF)算法。经过计算机仿真验证,该算法可以提高定位精度,并能有效地抑制滤波发散。Aimed at fixed single observer passive location based on non-cooperative illuminators, a modified filter algorithm of locating and tracking moving-target is presented. Firstly the measurement equations for the angle, time-difference and doppler-frequency information are established, and the modified gain function for each of the observation equation is derived, and then the measurement equations using the observed data of different observation moments are expanded, so the modified gain extended Kalman filter（MGEKF） algorithm based on expansion measurement equations is introduced, lastly it is confirmed that the improved algorithm can increase location accuracy and suppress filter divergence effectively through computer simulation.

关 键 词：无源定位 固定单站 外辐射源 修正增益扩展卡尔曼滤波 

分 类 号：TN971.1[电子电信—信号与信息处理]