| 一种基于粒子滤波的测向定位跟踪算法 |
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| 引用本文： | 陈红,蔡晓霞,曾昭勇. 一种基于粒子滤波的测向定位跟踪算法[J]. 武汉大学学报(理学版), 2007, 53(5): 609-612 |
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| 作者姓名： | 陈红 蔡晓霞 曾昭勇 |
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| 作者单位： | 合肥电子工程学院,安徽,合肥,230037 |
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| 摘 要： | 基于多站测向定位提供的目标辐射源方位角信息,提出了一种基于粒子滤波的测向定位跟踪算法.该算法采用序贯蒙特卡罗的粒子滤波技术,对目标辐射源方位信息进行粒子滤波融合处理,实现了对机动目标辐射源的无源定位跟踪.仿真实验表明,该算法适用于非线性模型和非高斯噪声的目标跟踪,与传统的基于卡尔曼滤波的多传感器融合跟踪算法相比,定位跟踪更为精确,从而对提高战场电子目标定位跟踪和精确打击具有广泛的应用价值.
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| 关 键 词： | 粒子滤波 测向定位 无源跟踪 |
| 文章编号： | 1671-8836（2007）05-0609-04 |
| 修稿时间： | 2007-01-12 |
An Algorithm of Direction Finding Location Tracking Based on Particle Filter |
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| CHEN Hong,CAI Xiaoxia,ZENG Zhaoyong. An Algorithm of Direction Finding Location Tracking Based on Particle Filter[J]. JOurnal of Wuhan University:Natural Science Edition, 2007, 53(5): 609-612 |
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| Authors: | CHEN Hong CAI Xiaoxia ZENG Zhaoyong |
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| Affiliation: | Electron Engineering Institute of Hefei, Hefei 230037, Anhui, China |
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| Abstract: | An algorithm of direction finding location tracking based on particle filter is presented by data fusion from the direction information of multi-direction finding stations with sequential Monte Carlo particle filter method. The results of the simulate experiment show that this method is suitable for target tracking under conditions of nonlinearity and non-gauss noise,and it has superiority over conventional Kalman filter during accurate passive tracking for maneuvering targets. |
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| Keywords: | particle filter direction finding location passive target tracking |
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