期刊文献+

使用ESM方位与多普勒频率量测的目标跟踪 被引量:3

Target Tracking Using ESM with Bearing and Doppler Frequency Measurements
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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.
出处 《光电工程》 CAS CSCD 北大核心 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)
关键词 ESM 目标运动分析 多普勒频率 目标跟踪 MGEKF electronic support measures target motion analysis Doppler frequency target tracking modified gain extended Kalman filter
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参考文献13

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共引文献14

同被引文献26

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