Analysis in the joint time-frequency domain of signatures extracted from targets buried underground

Hans C. Strifors; B. Brusmark; Anders Gustafsson; Guillermo C. Gaunaurd

doi:10.1117/12.241142

24 May 1996 Analysis in the joint time-frequency domain of signatures extracted from targets buried underground

Hans C. Strifors, B. Brusmark, Anders Gustafsson, Guillermo C. Gaunaurd

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241142
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

We study the scattering interaction of electromagnetic pulses of short duration with a few targets. The targets are two spheres and a short cylinder made of metal, and they are buried at selected depths in dry sand contained in an indoor sandbox. The backscattered echoes are extracted by an impulse radar system playing the role of a ground penetrating radar (GPR). In general, multiple scattering between a buried target and the ground surface and scattering from discontinuities in the sand distort the returned echoes to the extent that target recognition by means of frequency signature is nearly impossible. These obstacles for successful target recognition can be counteracted by analyzing returned echoes by means of time-frequency distributions of the Wigner-type, or Cohen class, by which it is possible to study how each one of the target's signature features evolves in time. Numerous members of the Cohen class of time-frequency distributions have been proposed over the years, each with its own property of concentrating the features in time-frequency and ability of suppressing undesirable cross-terms interference. We examine how, and how well a few members of the Cohen class reveal the time-progression of each target's features. The time-frequency distributions we compare in this survey are the pseudo-Wigner distribution, the Choi-Williams distribution, the adaptive spectrogram, the cone-shaped distribution, the Gabor spectrogram, and the spectrogram. We discuss the ability of each method of analysis to extract and concentrate features of the signature of each target in time-frequency and to suppress undesirable interference from cross- terms or multiple scattering. The results serve to assess the possibility of identifying subsurface targets using a GPR.

Citation Download Citation

Hans C. Strifors, B. Brusmark, Anders Gustafsson, and Guillermo C. Gaunaurd "Analysis in the joint time-frequency domain of signatures extracted from targets buried underground", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241142

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