分布式红外系统协同探测距离模型  

Collaborative Detection Distance Model for Distributed Infrared Systems

作　　者：祝家莹 王淼妍 闯家亮[1] 贾鹏 李江勇[1] ZHU Jia-ying;WANG Miao-yan;CHUANG Jia-liang;JIA Peng;LI Jiang-yong(The1lthResearch Institute of CETC,Beijing 100015,China)

机构地区：[1]中国电子科技集团公司第十一研究所,北京100015

出　　处：《红外》2024年第10期14-20,共7页Infrared

摘　　要：利用分布式多红外传感器协同探测同一目标后,通过对多传感器目标图像进行像素级融合来提升信噪比(Signal-to-Noise Ratio,SNR),进而提高系统的探测能力。从单红外传感器探测距离出发,阐述了分布式多红外系统协同探测的作用距离评估模型。推导了包含积分时间的噪声等效温差(Noise Equivalent Temperature Difference,NETD)公式,并用NETD表达了小哈德逊探测距离方程。采用多传感器图像融合的方式提升图像信噪比,等效于延长积分时间,抑制噪声、提高NETD;结合协同探测的虚警概率及探测概率关系公式,为多红外传感器探测距离方程中的信噪比设置提供参考依据。分布式多红外系统探测距离评估模型综合考虑NETD和SNR两个维度因素。理论计算表明,多传感器协同探测可以有效提升系统的探测距离,为分布式红外系统的综合论证提供了重要的理论支撑。After using distributed infrared sensors to detect the same target,the image of the multi-sensor target can be fused at pixel level to improve the signal-to-noise ratio(SNR),so as to improve the detection ability of the system.Starting with the detection range of a single infrared sensor,the range evaluation model of distributed multi-infrared system collaborative detection is described,and the noise equivalent temperature difference(NETD)formula is deduced including integral time.The Little Hudson detection range equation is expressed by NETD.The multi-sensor image fusion method is used to improve the SNR of the image,which is equivalent to extending the integration time and suppressing noise to improve NETD.Combined with the relation formula of the false alarm probability and detection probability,a reference for setting SNR in the detection range equation of multi-infrared sensors is provided.NETD and SNR are considered in the detection range evaluation model of distributed multi-infrared systems.Theoretical calculation shows that multi-sensor cooperative detection can effectively improve the detection range of the system,which provides important theoretical support for the comprehensive demonstration of distributed infrared systems.

关 键 词：分布式红外 协同探测 探测距离 噪声等效温差 信噪比 

分 类 号：TN211[电子电信—物理电子学]