THz主动焦平面成像系统的MRC匹配滤波器模型
投稿时间:2017-05-14  修订日期:2017-09-22  点此下载全文
引用本文:田莉,金伟其,蔡毅,王霞.THz主动焦平面成像系统的MRC匹配滤波器模型[J].红外与毫米波学报,2017,36(6):680~687].TIAN Li,JIN Wei- Qi,CAI Yi,WANG Xia.The MRC matched filter model of terahertz active focal plane imaging system[J].J.Infrared Millim.Waves,2017,36(6):680~687.]
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作者单位E-mail
田莉 北京理工大学 光电学院 光电成像技术与系统教育部重点实验室 tianli3628612@126.com 
金伟其 北京理工大学 jinwq@bit.edu.cn 
蔡毅 北京理工大学  
王霞 北京理工大学  
中文摘要:太赫兹焦平面成像技术具有成像分辨率高、时间周期短、系统简单,体积小等诸多优点,在安检和工业检测等领域具有广泛的应用前景。由于目前太赫兹焦平面器件灵敏度尚低,大多只能采用主动成像模式,且目前尚没有较公认可测试的THz主动成像系统性性能评价参数及其模型,难以为其系统设计提供理论基础和方法指导。本文结合太赫兹射源及焦平面探测器特性,同时考虑目标-背景特性、大气衰减及器件衰减等影响,研究建立了太赫兹主动成像系统的最小可分辨对比度匹配滤波器模型。并结合文献示例以及实际太赫兹焦平面主动成像系统的测试结果,验证了最小可分辨对比度模型。结果表明:实验测量值和计算值基本一致,误差在合理范围之内,从而表明了本文模型的有效性。
中文关键词:THz  主动成像  最小可分辨对比度  匹配滤波器
 
The MRC matched filter model of terahertz active focal plane imaging system
Abstract:Terahertz focal plane imaging technology has many advantages such as high image resolution, short time period, simple system and small size, and it has wide application prospect in security and industrial inspection. Because the sensitivity of the terahertz focal plane detectors is still low, most of them can only adopt the active imaging mode, and there is no more acceptable testable performance evaluation parameter and model for THz active imaging system, it is difficult to provide the theoretical basis and method for its system design guide. Based on the characteristics of terahertz source and focal plane detector, the minimum resolvable contrast matched filter model of terahertz active imaging system is established by considering the influence of target - background characteristic, atmospheric attenuation and device attenuation. The MRC model is validated by combining the literature examples and the experimental results of the actual terahertz focal plane active imaging system. The results show that the measured value and the calculated value are basically the same, and the error is within the reasonable range, which shows the validity of the model.
keywords:THz, active imaging, MRC, matched filter
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