Abstract
In this chapter we analyze the structure of the MSR matrices, using the multipolar expansions (4.46) and (5.8). We show the linear dependence of the multistatic data with respect to the GPTs or the FDPTs in which geometrical features of the target are encoded in a nonlinear way. As will be shown later, a least-squares approach will allow an accurate reconstruction of the GPTs or FDPTs from multistatic data.
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© 2013 Springer International Publishing Switzerland
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Ammari, H. et al. (2013). MSR Matrices Using Multipolar Expansions. In: Mathematical and Statistical Methods for Multistatic Imaging. Lecture Notes in Mathematics, vol 2098. Springer, Cham. https://doi.org/10.1007/978-3-319-02585-8_7
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DOI: https://doi.org/10.1007/978-3-319-02585-8_7
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02584-1
Online ISBN: 978-3-319-02585-8
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