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Combining Ground Penetrating Radar Scans of Differing Frequencies Through Signal Processing

Authors:
Roger Tilley
Hamid Sadjadpour
Farid Dowla

Keywords: Ground Penetrating Radar; Expectation-Maximization; Gaussian Mixture Model; Maximum Likelihood Parameter Estimation; Finite Difference Time Domain Method; GprMax.

Abstract:
Interference reduction is vital in delivering a clear usable signal, whether in the form of beamforming in a noisy environment of radar target responses, or effective communication in the presence of noise for mobile phone users, as examples. The methods used to render a cleaner signal can also be used to combine signals of various frequencies. In this paper we explore using an optimization problem solver, the Expectation-Maximization Algorithm, to define the weights to be used to combine multiple Ground Penetrating Radar frequency scans over the same target area. This approach exploits the Gaussian Mixture Model feature to combine the scans to produce a cleaner image at depth. Our method demonstrates a measured improvement toward producing a cleaner image.

Pages: 32 to 38

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-539-5

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017