Abstract：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 in°uence 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 di®erent from that of random noises,
and misassociation could bring large estimation bias.
基金资助:中国博士后科学基金(2017M613370) 资助
引用本文:
田威， 黄高明，彭华甫. 多传感器数据融合中错误关联的生成机理及影响分析[J]. 指挥与控制学报, 2018, 4(2): 160-164.
TIAN Wei, HUANG Gao-Ming, PENG Hua-Fu. Generation Mechanism and Impact Analysis of Misassociations in Multi-Sensor Data Fusion. Journal of Command and Control, 2018, 4(2): 160-164.
2018, Vol. 4 
