数据关联算法在光电探测系统中的应用  

Application of Data Association Algorithm in Photoelectric Detection System

作　　者：李炎冰[1] 巩华 陈洪亮[1] 周德召 程小亮[1] 

机构地区：[1]中国航空工业集团公司洛阳电光设备研究所,河南洛阳471000 [2]空装重点型号部,北京100843

出　　处：《电光与控制》2015年第2期77-79,93,共4页Electronics Optics & Control

摘　　要：由于光电探测系统采用被动的红外探测方式,当系统处在工作状态时,视场中地面背景下与周围环境温差较大的红外热源均有可能被光电探测系统当作目标检出。针对这一问题,研究了几种常用的数据关联方法,针对杂波问题建立数学模型,采用联合概率数据关联算法进行仿真。仿真结果表明,该算法能有效排除闪烁杂波,很好地解决地面红外热源的干扰问题。The optical detection system works in the mode of passive infrared detection, and when the system works in normal condition, all the infrared heat sources on the ground may be detected as targets because of the large temperature differences between them and the surrounding environment. To solve this problem,we studied several commonly used data association algorithms, built up a mathematical model for the clutter problem ,and made simulation to the algorithm through Joint Probability Data Association （JPDA）. The results show that the algorithm can effectively remove the flicker noise, and solve the interference problem caused by the heat sources on the ground.

关 键 词：光电探测 红外热源 联合概率数据关联 目标探测 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]