基于可行矩阵分析的被动传感器数据关联方法  

Data Association Method for Passive Sensers Based on Analyzing Possible Matrices

作　　者：刘航[1] 窦丽华[1] 

机构地区：[1]北京理工大学信息科学技术学院自动控制系,北京100081

出　　处：《北京理工大学学报》2006年第10期875-878,共4页Transactions of Beijing Institute of Technology

基　　金：北京市教委基建重点实验室资助项目(CSYS100070417)

摘　　要：在以两异面直线之间的距离为关联度的基础上,提出了一种基于可行矩阵分析的被动传感器数据关联方法.首先建立一个可行矩阵,通过对可行矩阵的元素进行分析以减少候选关联对个数,然后求解二维分配问题得到正确关联对集合.仿真结果表明,该方法在漏检、虚警、目标密集的环境下,数据关联正确率与直接采用二维分配方法相同,计算时间明显减少.On the basis that the distance of two lines in different planes is the association degree, a method of data association based on analyzing possible matrices is proposed. The feasible matrix is established, and the association pairs of candidates are reduced by analyzing the possible matrix, and the correct pairs of association are achieved by 2-D assignment. Simulation results showed that the method proposed has the same correct association percentage as the 2-D assignment, with less computation time in the condition of missed detection, false alarm and dense environment.

关 键 词：被动定位 数据关联 可行矩阵 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]