面向无人机目标探测的分时型红外偏振成像系统

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关键词：成像系统；红外偏振成像；卡尔曼滤波；对比度提升；背景抑制中图分类号：0436.3 文献标识码：Adoi：10.37188/OPE.20253317.2744 CSTR：32169.14.OPE.20253317.2744

Time-sharing infrared polarization imaging system for drone target detection

GUO Jie1，²， ZHAO Kaichun1*

（1. Department of Precision Instrument， Tsinghua University，Beijing 1Ooo84，China; 2. School of Instrument Science and Optoelectronic Engineering， Beijing Information Science and Technology University，Beijing l0ol92，China） * Corresponding author， E -mail： kaichunz@mail. tsinghua. edu. cn

Abstract： A long-wave infrared time-sharing polarization imaging system was developed to address instability in polarization response during high-speed imaging and to enable detection of UAV targets against strong infrared clutter. An optimal polarization step angle was identified through analysis and angle-error model simulations to minimize polarization error. An adaptive polarization-angle estimation algorithm， based on a time-varying parametric Kalman filter，was implemented to provide accurate angle estimates and maintain a stable polarization response at high frame rates. Experimental results at a 50Hz imaging rate demonstrate that the filtering algorithm reduces polarization response fluctuations by 91% ，achieves a polarization accuracy of 0.50% ，and attains a polarization-angle accuracy of 1.52∘ . Additionally，the tar get-region contrast in polarization images is enhanced by 3-10× .The proposed imaging system significantly improves UAV target contrast and satisfies detection requirements in environments with strong infrared clutter. Key Words： imaging systems； infrared polarization imaging；Kalman filter;contrast improvement； background suppression

1引言

长波红外成像方式主要依赖于红外传感器获取目标与背景间的红外辐射差异识别目标。（剩余13177字）