红外点目标双门限检测方法研究  

Double Threshold Detection Algorithm for Infrared Point Targets

作　　者：刘辉[1] 刘太阳 王成良[1] 许松[1] LIU Hui;LIU Taiyang;WANG Chengliang;XU Song(Airborne Early Warning Department,Air Force Early Warning Academy,Wuhan 430019,China)

机构地区：[1]空军预警学院空天预警系,湖北武汉430019

出　　处：《红外技术》2023年第6期622-629,共8页Infrared Technology

摘　　要：检测概率、虚警概率和信噪比是红外点目标检测系统的3个核心指标,本文在恒虚警检测准则下,分析了红外点目标单帧检测(单一门限检测)的检测概率、虚警概率和信噪比三者之间的关系。重点分析计算了采用多帧累积检测的双门限检测方法时,第二门限的选取策略,实现了在不提高对系统信噪比要求的前提下,提高检测概率、降低虚警概率的目的,解决了威胁度大、误报和漏报代价高的高价值目标的检测问题。The probability of detection,probability of false alarm,and signal-to-noise ratio(SNR)are three core indicators of the detection system for infrared point targets.Under the criterion of constant false alarm detection,this study analyzed the relationship between probability of detection,probability of false alarm,and signal-to-noise ratio(SNR)using single frame detection method,also called single threshold detection for infrared point target systems.This study focused on the analysis and calculation of the selection strategy of the second threshold under a multi-frame accumulation detection method(called the double threshold detection algorithm)and achieved a higher probability of detection and lower probability of false alarm with a lower SNR.A good solution was also found for the problem of detecting high-value targets with high threat and cost for false and missed alarms.

关 键 词：检测概率 虚警概率 信噪比 双门限检测准则 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]