| 引用本文: | 刘培国,刘继斌,周蔚红,等.三维被动定位AOA融合算法.[J].国防科技大学学报,2006,28(2):77-79.[点击复制] |
| LIU Peiguo,LIU Jibin,ZHOU Weihong,et al.AOA Fusion Algorithm for 3D Passive Location[J].Journal of National University of Defense Technology,2006,28(2):77-79[点击复制] |
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| 三维被动定位AOA融合算法 |
| 刘培国, 刘继斌, 周蔚红, 李高升 |
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(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
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| 摘要: |
| 三维被动定位是ESM系统的重要内容，在军事上是侦察定位、监视监测的重要方面。AOA是被动雷达普遍采用的一种定位方法。基于安装于不同运动平台上的两个传感器的AOA测量，给出了ILS融合算法。仿真结果显示采用AOA融合算法，使定位精度得到有效提高。 |
| 关键词: 无源被动定位 AOA 融合算法 |
| DOI： |
| 投稿日期：2005-04-14 |
| 基金项目:国家863基金资助项目(2001AA132020) |
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| AOA Fusion Algorithm for 3D Passive Location |
| LIU Peiguo, LIU Jibin, ZHOU Weihong, LI Gaosheng |
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(College of Electronic Science and Engineering, National Univ. of Defense Technology，Changsha 410073，China)
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| Abstract: |
| 3D passive location of radar emitters plays an important part in electronic support for military surveillance. The AOA (angle of arrivals) is one popular scheme for passive emitter location. In this paper, a location scheme is proposed based on fusion of AOA measurements from two ESM (electronic support measures) sensors installed on two moving platforms, respectively. Furthermore, ILS (iterative least-squares) is also proposed to fuse AOA measurements from two ESMs. Experimental results show that the location accuracy of the radar emitter can be improved effectively by this AOA fusion algorithm. |
| Keywords: passive location AOA fusion algorithm |
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