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Radon-Fourier Transform for Radar Target Detection (II): Blind Speed Sidelobe Suppression

机译:用于雷达目标检测的Radon-Fourier变换(II):盲目速度旁瓣抑制

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摘要

This paper gives a detailed performance analysis for the novel radar long-time coherent integration method, i.e., Radon-Fourier transforms (RFT). Some important properties of RFT, e.g., two-dimensional (2D) impulse response, 2D translational invariance, multitarget linear additivity, linear signal-to-noise ratio gain in additive white Gaussian noise (AWGN), as well as the 2D correlation function of transformed AWGN, are derived for continuous and discrete RFT, respectively. However, because of discrete pulse sampling, finite range resolution, and limited integration time, the "blind-speed sidelobes (BSSL)" of discrete RFT may inevitably appear in real applications. Although the BSSL are reduced with the increase of the blind-speed integer, they may still lead to false alarms or loss detections in a real multitarget scenario. Based on the analytic expression derived for BSSL, the causes of BSSL are analyzed and the effective BSSL suppression methods are proposed. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.
机译:本文对新型雷达长时间相干积分方法即Radon-Fourier变换(RFT)进行了详细的性能分析。 RFT的一些重要属性,例如二维(2D)脉冲响应,2D平移不变性,多目标线性可加性,加性高斯白噪声(AWGN)中的线性信噪比增益,以及RFT的2D相关函数分别针对连续和离散RFT导出变换后的AWGN。但是,由于离散脉冲采样,有限范围的分辨率和有限的积分时间,离散RFT的“盲速旁瓣(BSSL)”可能不可避免地出现在实际应用中。尽管BSSL随着盲速整数的增加而降低,但在实际的多目标方案中,它们仍可能导致错误警报或丢失检测。基于BSSL的解析表达式,分析了BSSL的产生原因,提出了有效的BSSL抑制方法。最后,还提供了数值实验来证明所提方法的有效性。

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