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Coherent-like integration for PD radar target detection based on short-time Fourier transform

机译:基于短时傅立叶变换的相干集成PD雷达目标检测

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摘要

In the context of white complex Gaussian noise, this study presents one constant false-alarm rate mono-pulse detector for both the narrowband and wideband pulse-Doppler (PD) radars. To this end, coherent-like integration is proposed to improve the signal-to-noise ratios of one radar echo. The PD radar returned signals are first performed by stretch processing. Stretched signals are analysed by short-time Fourier transform (STFT) in the time-frequency representation. Coherent-like integration is then utilised to operate the two-dimensional (2D) STFT matrix and the new 2D matrices after coherent-like integration are decomposed to obtain singular values. Finally, the largest singular value, which is assumed to be corresponding to an isolated scatterer for narrowband PD radars (dominate scatterer for wideband PD radars) is selected as the test static to be compared with the detection threshold. Since the new detector is not highly sensitive to the target motion, it can solve the detection problem of the high-speed manoeuvring target. Furthermore, the experiments based on raw data are conducted to illustrate the performance of the proposed detector.
机译:在白色复杂高斯噪声的背景下,本研究提出了一种用于窄带和宽带脉冲多普勒(PD)雷达的恒定误报率单脉冲检测器。为此,提出了类似相干的积分以改善一个雷达回波的信噪比。 PD雷达返回的信号首先通过拉伸处理执行。通过短时傅立叶变换(STFT)在时频表示中分析拉伸信号。然后利用相干积分来操作二维(2D)STFT矩阵,并在对相干积分进行分解后将新的2D矩阵分解以获得奇异值。最后,选择最大奇异值(假设它对应于窄带PD雷达的隔离散射体(宽带PD雷达的主要散射体))作为测试静态值,与检测阈值进行比较。由于新的检测器对目标运动不是高度敏感,因此可以解决高速机动目标的检测问题。此外,进行了基于原始数据的实验,以说明所提出的检测器的性能。

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