基于不同地基红外视距模型的低特征飞行器可探测性分析

Abstract

Objective Low signature aircraft adopt active or passive methods to reduce the characteristic difference between themselves and surrounding backgrounds, such as hightemperature component cooling, aerodynamic structure layout optimization, and absorbing coating, which brings great challenges to detection systems. The aerodynamic heating of aircraft is difficult to eliminate, which thus provides a radiant source for the infrared detection system . The development of high sensitivity infrared detectors further promotes the detection of low characteristic aircraft by infrared detection systems.Maximum detection range (MDR) is an important performance indicator of infrared detection systems, which is not only related to the target s infrared radiation characteristics but also closely related to the system s visual range prediction model.At present, most research focuses on analyzing the detectability of targets based on a single visual range prediction model.Especially, with low characteristic aircraft as the research object, there is a lack of research on using multiple visual range prediction models for detectability analysis. Therefore, we take low characteristic aircraft as the research object and conduct research based on multiple visual range prediction models, which can provide theoretical support for the detection and recognition of low characteristic aircraft and detector design.