基于外辐射源的单站无源定位改进算法  

Improved Algorithm for Single Observer Passive Location Based on Opportunity Transmitter

作　　者：隋红波[1] 刘东升[2] 吴瑛[1] 

机构地区：[1]信息工程大学信息工程学院 [2]中国人民解放军第65021部队

出　　处：《无线电工程》2008年第10期28-31,共4页Radio Engineering

摘　　要：针对外辐射源无源定位系统实现快速和高精度定位的要求,提出了一种在测量到达角及时差信息的基础上,增加方位角变化率信息的单站无源定位算法。同时引入一种对非线性系统较好的滤波算法——修正增益扩展卡尔曼滤波(MGEKF)算法,与推广卡尔曼滤波器(EKF)相比,MGEKF能更好地解决量测模型非线性问题,滤波性能更好。计算机仿真结果也表明了此定位方法具有较好的定位跟踪精度和速度。The passive location system based on opportunity transmitter requires rapid and high precision location. The paper presents a single observer passive location algorithm which is based on azimuth and elevation angle and TDOA measurement and adds the changing rates of azimuth angle, meanwhile, introduces a filtering algorithm which is good for nonlinear system, modified gain extended Kalman filter（MGEKF） algorithm. Compared with EKF,MGEKF can solve nonlinearity problem of observation model better, and have better filtering performance. The computer simulation results also indicate that this algorithm performs well in beth location precision and velocity.

关 键 词：无源定位 到达角 时差 方位角变化率 修正增益扩展卡尔曼滤波 

分 类 号：TN957[电子电信—信号与信息处理]