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Target discrimination method for passive bistatic radar using narrowband and low-frequency illuminator

机译:窄带低频照明器的无源双基地雷达目标识别方法

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摘要

As most illuminators of opportunity are relatively narrowband and of low-frequency, passive bistatic radar (PBR) is so weak in target discrimination that it can hardly distinguish adjacent aircraft or ships. To solve this problem, we propose a matched filter-based method. This method uses the bistatic range of the target to construct the corresponding filter groups and then produces a two-dimensional image by correlating the echo signals. We finally convert the target discrimination problem to distinguish the peaks in the image. The proposed method overcomes the target discrimination problem for PBR using the narrowband and low-frequency illuminator. Simulation results indicate the effectiveness and validity of the proposed method in distinguishing adjacent targets. (C) 2015 Society of Photo-Optical Instrumentation Engineers SPIE)
机译:由于大多数机会照明器的频带相对较窄且为低频,因此无源双基地雷达(PBR)的目标分辨力非常弱,以致几乎无法区分相邻的飞机或轮船。为了解决这个问题,我们提出了一种基于匹配滤波器的方法。该方法使用目标的双基地范围构建相应的滤波器组,然后通过使回波信号相关来生成二维图像。最后,我们将目标识别问题转换为可区分图像中的峰。所提出的方法克服了使用窄带和低频照明器的PBR的目标辨别问题。仿真结果表明了该方法在识别相邻目标中的有效性和有效性。 (C)2015年光电仪器工程师学会SPIE)

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