基于多向次序关联的AOA量测数据关联  

Data Association Based on Multidirection-Ordered Association in AOA

作　　者：王鹏[1] 姬红兵[1] 刘龙 张文博[1] WANG Peng;JI Hong-bing;LIU Long;ZHANG Wen-bo(School of Electronic Engineering,Xidian University,Xi’an,Shaanxi 710071,China)

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071

出　　处：《电子学报》2021年第3期454-460,共7页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61871301);国家博士后基金(No.2018M633467)。

摘　　要：利用到达角(Angel Of Arrival,AOA)进行目标定位是被动监测领域广泛采用的技术之一.然而,在多基站多目标环境中,通常难以直接获得AOA量测数据间的关联关系,因此需要在目标定位前进行有效的量测数据关联.本文针对AOA量测数据的关联问题,提出了一种基于多向次序关联的AOA量测数据关联方法.该方法首先构建了一种用于描述数据间关联程度的代价函数,并利用雅克比方法估计误差分量的方差.其次结合分配算法和寻优思想,分别计算局部关联方向和基站的关联次序,最终得到关联结果.实验验证了本文方法对密集目标和随机目标量测数据关联的有效性.Angle of arrival based positioning technology is commonly used in the field of passive surveillance.However,in a multisensor-multitarget situation,it is difficult to determine the association between measurements directly,and an effective data association is required before target positioning.Aimed to solve the problem,this paper presents a new data association approach of angel of arrival(AOA)based on multidirection-ordered association.Firstly,the approach designs a cost function to describe the possibility of association between measurements,and uses the Jacobian to estimate the variance of components of error vector.Secondly,to compute the association results,the assignment and optimization ideas are used to compute the directions of partial association and the order of association between sensors,respectively.The simulation results show that the approach is effective for the association of measurements of intensive targets and random targets.

关 键 词：到达角(AOA) 数据关联 多向次序 被动监测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]