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Deconvolution approaches applied to space-time radar data,

机译:反卷积方法应用于时空雷达数据,

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Abstract: This paper considers the operation of multi-element radar arrays in the context of Airborne Early Warning applications. A 2D convolution model is proposed to represent the transformation of data determined by the existence of targets characterized by a given relative velocity and located at a certain angle, into a corresponding Azimuth-Doppler Spectrum. The feasibility of this interpretation is demonstrated by matching of the spectrum generated through convolution with the one resulting from software simulation of the same target conditions. Two methods of discrete 2D deconvolution are explored in an attempt to revert the process, obtaining an estimate of the target characteristics from simulated Azimuth-Doppler Spectra. The advantages and disadvantages of the methods are reported and the possibility of using deconvolution to preferentially retrieve target components over clutter interference is presented.!12
机译:摘要:本文考虑了机载预警应用中多元素雷达阵列的操作。提出了2D卷积模型,以表示将以给定相对速度为特征并以一定角度定位的目标的存在所确定的数据转换为相应的方位多普勒频谱。通过将通过卷积生成的光谱与相同目标条件的软件仿真所得到的光谱进行匹配,可以证明这种解释的可行性。探索了两种离散2D去卷积方法,以尝试还原该过程,并从模拟方位角-多普勒光谱获得目标特征的估计值。报告了该方法的优缺点,并提出了使用反卷积优先于杂波干扰优先检索目标分量的可能性。12

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