双模型空中目标红外谱段的联合SNCR评估方法
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1.北京跟踪与通信技术研究所,北京 100094;2.中国科学院智能红外感知重点实验室,上海 200083;3.中国科学院上海技术物理研究所,上海 200083;4.中国科学院大学,北京 100049

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TN215

基金项目:

中国光学技术和仪器基金 Y7K03213N1中国光学技术和仪器基金(No.Y7K03213N1)支持


Combining-SNCR evaluation of dual-models aerial targets’ infrared bands
Author:
Affiliation:

1.Beijing Institute of Tracking and Telecommunication Technology,Beijing 100094,China;2.Key Laboratory of Intelligent Infrared Perception,Chinese Academy of Sciences,Shanghai 200083,China;3.Shanghai Institute of Technical Physics of the Chinese Academy of Sciences,Shanghai 200083,China;4.University of Chinese Academy of Sciences,Beijing 100049,China

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    摘要:

    在天基平台下实现对空中飞机目标的探测,存在距离远、目标信号弱、背景杂波复杂和探测器噪声等的影响,因此,要获取目标的最强信号,确定在探测过程中的谱段至关重要。为此系统性地建立了飞机羽流的梯形羽流和锥形羽流仿真模型,并提出了利用信噪比(SNR)和信杂比(SCR)联合的SNCR方法对空中目标的探测谱段进行确定。实验结果表明:针对空中目标,不同目标SNCR值不同,但峰值区域不变,由此方法可以确定探测谱段,并最终确定探测的谱段分别为:中波波段为,波段间隔在0.3以上;长波波段为,波段间隔在0.35以上。

    Abstract:

    The detection of the aerial targets applied on the space-based platform has the effects of long distance, weak signal of targets, complex background clutters and noises from detectors, therefore, it is extremely important to determine the bands, which might obtain the strongest signal, during the process of detection. The trapezoidal plume and the cone plume simulation model are systematically established, meanwhile an SNCR method combining the signal to noisy ratio(SNR) and the signal to clutter ratio(SCR) is proposed to determine the detection bands. The experimental result shows that, different aerial targets have different SNCR values, but with the same peak value. According to the method mentioned above, bands have been determined and eventually been determined the values as follows: in MWIR band, in which interval is not less than 0.3, in LWIR band, in which interval is not less than 0.3.

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张磊,陈略,朱含露,饶鹏.双模型空中目标红外谱段的联合SNCR评估方法[J].红外与毫米波学报,2020,39(5):662~668]. ZHANG Lei, CHEN Lue, ZHU Han-Lu, RAO Peng. Combining-SNCR evaluation of dual-models aerial targets’ infrared bands[J]. J. Infrared Millim. Waves,2020,39(5):662~668.]

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  • 收稿日期:2019-03-15
  • 最后修改日期:2020-01-07
  • 录用日期:2019-08-29
  • 在线发布日期: 2020-06-15
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