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Object Identification in Radar Imaging via the Reciprocity Gap Method
Author(s) -
Charnley Matthew,
Wood Aihua
Publication year - 2020
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2019rs006946
Subject(s) - reciprocity (cultural anthropology) , discretization , inverse problem , radar , object (grammar) , radar imaging , computer science , algorithm , computer vision , mathematics , artificial intelligence , mathematical analysis , telecommunications , psychology , social psychology
In this paper, we present an experimental method for locating and identifying objects in radar imaging, specifically problems that could arise in physical situations. The data for the forward problem are generated using a discretization of the Lippmann‐Schwinger equation, and the inverse problem of object location is solved using the reciprocity gap approach to the linear sampling method. The main new development in this paper is an exploration of determining the permittivity of the object from the back‐scattered data, utilizing another discretization of the Lippmann‐Schwinger equation.