Pseudoinverse imaging for multimonostatic ground-penetrating radar data

Yan Chen; Alan J. Witten

doi:10.1117/12.445458

18 October 2001 Pseudoinverse imaging for multimonostatic ground-penetrating radar data

Yan Chen, Alan J. Witten

Proceedings Volume 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI; (2001) https://doi.org/10.1117/12.445458
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

A 2D regularized pseudoinverse algorithm is described for subsurface imaging from multifrequency multi-monostatic ground penetrating radar (GPR) data. The algorithm is based on the Born approximation for vector electromagnetic scattering. Versions of the algorithm using both the ideal point sources/receivers, like the usual inversion algorithms of diffraction tomography (DT), and the arbitrary transmitting/receiving antennas based on Kerns' scattering matrix formulation are given. The algorithm allows either a lossless background medium or an attenuating background. The reconstruction results are obtained analytically by using a regularized pseudoinverse operator. The test results form both synthetic and experimental data are presented to illustrate the use of the algorithm.

Citation Download Citation

Yan Chen and Alan J. Witten "Pseudoinverse imaging for multimonostatic ground-penetrating radar data", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445458

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KEYWORDS

Antennas

Scattering

General packet radio service

Reconstruction algorithms

Electromagnetic scattering

Radar imaging

Data modeling

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