使用ESM方位与多普勒频率量测的目标跟踪  

Target Tracking Using ESM with Bearing and Doppler Frequency Measurements

作　　者：权宏伟[1,2] 彭冬亮[2] 薛安克[1,2] 

机构地区：[1]华东理工大学信息科学与工程学院,上海200237 [2]杭州电子科技大学信息与控制研究所,杭州310018

出　　处：《光电工程》2011年第3期9-13,共5页Opto-Electronic Engineering

基　　金：国家自然科学基金项目资助(60434020;60602049)

摘　　要：针对ESM传感器能够同时测量方位角与多普勒频率的特点,提出了基于MGEKF的ESM多普勒频率/方位角目标跟踪算法(DB-MGEKF)。与通常的纯方位角目标跟踪算法相比,DB-MGEKF算法增加了多普勒频率量测信息,并引入了能够较好处理系统非线性问题的修正增益扩展卡尔曼滤波器(MGEKF),从而提高了目标的估计精度及滤波的稳定性,同时避免了观测平台自身的机动。Monte-Carlo仿真及结果分析进一步说明了算法的有效性。Aiming at the feature of Electronic Support Measures （ESM） detecting the bearings and Doppler frequencies simultaneously,a target tracking algorithms is proposed which uses ESM’s Doppler frequency and bearing measurements based on Modified Gain Extended Kalman Filter （DB-MGEKF）. Compared with bearings-only target tracking algorithm,DB-MGEKF increases the Doppler frequencies measurement and introduces the MGEKF which can handle the nonlinear system preferably. The method improves the accuracy of target estimates as well as the stability of the filtering. Moreover, the observer’s maneuvering can be avoided. Monte-Carlo simulations with result analysis further illustrate the effectiveness of the algorithm.

关 键 词：ESM 目标运动分析 多普勒频率 目标跟踪 MGEKF 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]