多传感器数据融合中错误关联的生成机理及影响分析  

Generation Mechanism and Impact Analysis of Misassociations in Multi-Sensor Data Fusion

作　　者：田威 黄高明[1] 彭华甫[1,3] TIAN Wei;HUANG Gao-Ming;PENG Hua-Fu(School of Electronic Engineering,Naval Engineering Uni-versity,Wuhan Hubei 430033,China;Unit 91715 of PLA,Guangzhou Guangdong 510450,China;Unit 92773 of PLA,Wenzhou Zhejiang 325807,China)

机构地区：[1]海军工程大学电子工程学院 [2]解放军91715部队 [3]解放军92773部队

出　　处：《指挥与控制学报》2018年第2期160-164,共5页Journal of Command and Control

基　　金：中国博士后科学基金(2017M613370)资助~~

摘　　要：航迹关联是多传感器系统误差估计与航迹融合的先决条件.在全局最近邻框架下,给出了关联出错的条件,讨论了空关联费用、系统误差、虚警漏报等因素对错误关联生成的影响.理论分析与仿真示例表明错误关联对系统误差估计的影响与随机误差有显著差异,错误关联会导致系统误差估计结果出现严重偏差.Track-to-track association is the precondition of multisensor bias estimation and track-to-track fusion.In terms of global nearest neighbor the misassociation condition is proposed,and the influence of the null association cost,sensor biases,false alarms and missed detections on the generation of misassociations is discussed.Analysis and simulation demonstrate that the impact of misassociations on multisensor bias esimation is quite different from that of random noises,and misassociation could bring large estimation bias.

关 键 词：数据融合 航迹关联 错误关联 系统误差估计 航迹融合 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]