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3-D Fast Imaging Method for UWB Radar in Interference-Rich Environments with Global Optimization

机译:全局优化的多干扰环境下超宽带雷达的3-D快速成像方法

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摘要

The SEABED method, a fast imaging algorithm for UWB pulse radar systems, makes it possible to image 3-D unknown targets using a reversible transform between the target shape and antenna position. The antenna position and distance form a curved surface called a "quasi-wavefront". We can estimate the target shape directly using this transform if we can extract the quasi-wavefront from the observed data. In the case of complex-shaped targets, however, it is difficult to obtain the correct image because the received signals interfere with each other through the echoes from multiple reflected points. Conventional methods, that extract the quasi-wavefront at each antenna position, suffer from a serious fault in that the values obtained in the region with interference are not accurate. To overcome this problem, we propose a simultaneous estimation of all quasi-wavefronts from the received signal waveforms at all antenna positions by treating the problem as an optimization of an evaluation
机译:SEABED方法是一种用于UWB脉冲雷达系统的快速成像算法,可以使用目标形状和天线位置之间的可逆变换对3-D未知目标成像。天线的位置和距离形成一个称为“准波阵面”的曲面。如果我们可以从观测到的数据中提取准波阵面,则可以使用此变换直接估计目标形状。但是,在目标形状复杂的情况下,由于接收到的信号通过来自多个反射点的回波相互干扰,因此难以获得正确的图像。提取每个天线位置处的准波阵面的传统方法存在严重缺陷,因为在受干扰的区域中获得的值不准确。为了克服这个问题,我们建议通过将问题视为评估的优化,从所有天线位置的接收信号波形中同时估计所有准波阵面

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