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Sensor Arrangement in Monostatic Subsurface Radar Imaging
IEEE Open Journal of Antennas and Propagation Pub Date : 2020-11-16 , DOI: 10.1109/ojap.2020.3037678
Maria Antonia Maisto , Rocco Pierri , Raffaele Solimene

This article deals with microwave subsurface imaging achieved by inverting the linearized scattering operator. The focus is on the determination of a strategy for spatially sampling the data which allows to reduce the spatial data measurements and at the same time to keep the same achievable performance in the reconstructions. To this end, the measurement points are determined in order to approximate the point-spread function corresponding to the ideal continuous case (i.e., the case in which the data space is not sampled at all). For the sake of simplicity, the study is developed for a 2D scalar configuration. Also, the standard mono-static measurement arrangement is considered. However, in order to mimic a subsurface imaging scenario, a two-layered background medium is addressed. The main idea is to introduce suitable variable transformations which allow to express the point-spread functions as a Fourier-like transformation; this then provides insights for devising the sampling scheme. It is shown the resulting measurement spatial positions must be non-uniformly arranged across the measurement domain and their number can be much lower than the one provided by some commonly used literature sampling criteria.

中文翻译:

单基地地下雷达成像中的传感器布置

本文介绍了通过反转线性化散射算子获得的微波地下成像。重点在于确定对数据进行空间采样的策略,该策略可以减少空间数据的测量,并同时在重建中保持相同的可实现性能。为此,确定测量点以便近似于与理想连续情况(即,根本不采样数据空间的情况)相对应的点扩展函数。为了简单起见,本研究针对2D标量配置进行开发。另外,考虑了标准的单静态测量装置。然而,为了模仿地下成像场景,解决了两层背景介质。主要思想是引入合适的变量转换,该转换允许将点扩展函数表示为类似傅立叶的转换。然后,这为设计采样方案提供了见识。结果表明,所得到的测量空间位置必须在整个测量域中不均匀地排列,并且其数量可能远低于某些常用文献采样标准所提供的数量。
更新日期:2021-01-19
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