杂乱
计算机科学
电磁频谱
集合(抽象数据类型)
光谱(功能分析)
噪音(视频)
探测理论
红外线的
信号(编程语言)
物理
航空航天工程
雷达
光学
电信
人工智能
探测器
工程类
图像(数学)
程序设计语言
量子力学
作者
Xinyue Ni,Shutian Yu,Xiaofeng Su,Fansheng Chen
标识
DOI:10.1007/s11082-021-03451-4
摘要
Advances in infrared detection techniques require novel spectrum dynamic-modification strategies capable of sensing unprecedentedly low target radiant intensities. a conventional fixed-spectrum detection system cannot satisfy the effective detection of stealth aircraft targets due to complex Earth background clutter and atmospheric attenuation. Therefore, a detection method that can highlight aircraft targets is urgently needed to enhance stealth aircraft detectability. In this research, a spectrum set consisting of different bandwidths associated with a central wavelength is established. Furthermore, a signal-to-noise ratio of the stealth aircraft is computed using the established spectrum set. Finally, the optimal spectrum is selected according to the maximal signal-to-noise ratio from the spectrum set. Our numerical experiments and simulations further demonstrate that the proposed methodology can substantially strengthen the detection performance of stealth aircraft compared with traditional fixed-spectrum detection systems. This work on detection spectrum optimization paves the way to stealth aircraft detection and opens new vistas in the field of target detection technology.
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