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三维测向无源定位中的数据关联算法研究
引用本文:修建娟,何友,车志宇,修建华. 三维测向无源定位中的数据关联算法研究[J]. 系统工程与电子技术, 2009, 31(2): 329-332
作者姓名:修建娟  何友  车志宇  修建华
作者单位:海军航空工程学院电子信息工程系, 山东, 烟台, 264001
基金项目:泰山学者建设工程专项经费资助项目,教育部新世纪优秀人才支持计划 
摘    要:借鉴多维分配的思想,把整体相关和最近邻方法相结合,将多个传感器情况下的被动数据关联问题进行降维处理,并利用χ2分布进行统计检验,以判断不同传感器测量数据的关联组合是否是来自同一个目标的正确组合,最终实现有效排除测向交叉定位中虚假定位点和准确定位的目的,实现多传感器多目标无源被动跟踪.仿真结果表明,利用文中的方法无源传感器可较好地对多目标进行定位,而且计算量适中.

关 键 词:被动定位  数据互联  多维分配  χ2检验
收稿时间:2008-01-04
修稿时间:2008-05-27

Study on bearing measurements association algorithm in 3D passive location systems
XIU Jian-juan,HE You,CHE Zhi-yu,XIU Jian-hua. Study on bearing measurements association algorithm in 3D passive location systems[J]. System Engineering and Electronics, 2009, 31(2): 329-332
Authors:XIU Jian-juan  HE You  CHE Zhi-yu  XIU Jian-hua
Affiliation:Dept. of Electronic Information Engineering, Naval Aeronautical and Astronautical Univ., Yantai 264001, China
Abstract:A new method is studied to associate the bearing measurements of different passive sensors.This method uses multidimension assignment algorithm for reference.The nearest-neighbor method is combined with the holistic correlation method to reduce the dimension of bearing measurements association,and a chi-square test is used to select the correct bearing measurements association.This method can eliminate the ghosts created by direction finding line of multiple passive sensors.Simulation results show that using the proposed method,the passive sensors can locate multiple targets simultaneously,and the computation burden is moderate.
Keywords:
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