基于多传感器数据融合的目标识别和跟踪

Target Recognition and Tracking Based on Multisensor Data Fusion

基于单传感器（雷达或红外）系统存在局限性，提出了基于多传感器（雷达和红外）信号融合的目标识别和跟踪系统，它能利用不同传感器的数据互补和冗余．特征层融合能通过利用其他传感器模块提供的目标特征信号来提高目标检测概率和降低虚警概率；决策层融合能矫正因受干扰等原因而失去目标跟踪能力的传感器模块的伺服跟踪回路，并提高抗干扰性．

System s for targetrecognition and tracking based on single sensor (radar or infrared detector) have their lim itations. Asystem w as presented fortargetrecognition and tracking based on data fusion of m ulti sensors(radar and infrared detector) w hich m akes use of the com plem ent and redundancy of data from differentsensors. Thefusion ofcharacteristicsofthetargetprovided by differentsensorscan im prove the rate oftargetrecognition and reduce the rate offalse alarm . The fusion ofstrategic decision m ade by differentsensors can rectify the tracking capacity ofa sensorw ith interference, and im prove the capability ofanti interference.