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基于信杂比的高超声速飞行器红外探测谱段分析

Analysis on Infrared Detection Spectral Wavebands of Hypersonic Vehicles Based on Signal to Clutter Ratio
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摘要 以典型吸气巡航式和助推滑翔式两类高超声速飞行器为研究对象,采用纳维-斯托克斯(Navier-Stokes,N-S)方程和流固耦合模型计算流场分布,采用逆向蒙特卡罗方法计算高超声速飞行器本体光谱辐射特性;进一步考虑探测场景中的海面背景和临边大气背景辐射特性以及大气传输特性,基于探测信杂比分析高超声速飞行器的最优红外探测谱段。分析结果表明:在采用对地模式探测吸气巡航式高超声速飞行器时,建议选择(2.5~3.1)μm、(4.2~4.4)μm、(5.2~7.8)μm谱段;在采用临边模式探测吸气巡航式高超声速飞行器时,建议选择(3~5)μm谱段;在采用对地模式探测助推滑翔式高超声速飞行器时,建议选择(2.5~3.2)μm、(4.2~4.6)μm、(5.4~7.5)μm谱段;在采用临边模式探测助推滑翔式高超声速飞行器时,建议选择(2.7~5.0)μm谱段。 Taking two kinds of hypersonic vehicles as the objects of study,including the air-breathing cruising vehicle and the boostering gliding vehicle,the flow field distributions were simulated through Navier-Stokes equations and the fluid-solid coupling model,and the intrinsic spectral radiation characteristics of hypersonic vehicles were calculated by reversed Monte Carlo method.In addition,considering the radiation characteristics of ocean and limb background,as well as the transportation characteristics of atmosphere,in detection scene,the appropriate detection wavebands of hypersonic vehicles were obtained on the basis of the signal to clutter ratio of detection.The results indicate that the spectral wavebands of(2.5~3.1)μm,(4.2~4.4)μm and(5.2~7.8)μm are recommended in the earth detection mode for air-breathing cruising vehicle;the spectral waveband of(3~5)μm is recommended in the limb surveying detection mode for air-breathing cruising vehicle;the spectral wavebands of(2.5~3.2)μm,(4.2~4.6)μm and(5.4~7.5)μm are recommended in the earth detection mode for boostering gliding vehicle;the spectral waveband of(2.7~5.0)μm is recommended in the limb detection mode for boostering gliding vehicle.
作者 刘健 龚志红 王彪 杜君 朱凌轩 LIU Jian;GONG Zhihong;WANG Biao;DU Jun;ZHU Lingxuan(National Key Laboratory of Scattering and Radiation,Shanghai 200438,China;Unit 93160 of People’s Liberation Army of China,Beijing 100071,China)
出处 《制导与引信》 2024年第1期13-19,26,共8页 Guidance & Fuze
基金 国家自然科学基金企业创新发展联合基金重点项目(U22B2045)。
关键词 高超声速飞行器 红外探测谱段优选 探测信杂比 hypersonic vehicle optimal selection of infrared detecion spectral waveband signal to clutter ratio of detection
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