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Moving target detection in over-the-horizon radar using adaptive chirplet transform

机译:基于自适应Chirplet变换的超视距雷达运动目标检测

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In over-the-horizon radar (OTHR) moving target detection, the signal to clutter ratio (SCR) is low for slow targets near the clutter, such as ships. One method to detect a moving target is to first reject the clutter and improve the SCR before the detection, such as the adaptive Fourier transform developed by Root [1998a, 1998b, 1998c] when a target moves uniformly. When a target does not move uniformly, the Fourier-based techniques for the target detection including superresolution techniques may not work well. In this paper, we propose an adaptive chirplet transform technique in the Doppler processing in OTHR as an alternative of the Fourier transform technique when a target moves nonuniformly.
机译:在超视距雷达(OTHR)的移动目标检测中,杂波附近的慢速目标(如船舶)的信噪比(SCR)较低。一种检测运动目标的方法是在检测之前先排除杂波并改善SCR,例如Root [1998a,1998b,1998c]开发的当目标均匀运动时的自适应傅里叶变换。当目标不能均匀移动时,用于目标检测的基于傅立叶的技术(包括超分辨率技术)可能无法很好地工作。在本文中,我们提出了一种在OTHR的多普勒处理中的自适应chirplet变换技术,作为目标不均匀移动时傅立叶变换技术的替代方法。

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