Fast communication: Generalized two-sided linear prediction approach for land mine detection

Authors:
Thomas C. T. Chan;H. C. So;K. C. Ho
Affiliations:
Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China;Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China;Department of Electrical and Computer Engineering, University of Missouri-Columbia, Columbia, MO 65211, USA
Venue:
Signal Processing
Year:
2008

Citing 1
Cited 1

Similarities and differences between one-sided and two-sided linearprediction

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Fast communication: Geometric MMSE for one-sided and two-sided vector linear predictors: From the finite-length case to the infinite-length case

Signal Processing

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Abstract

Ground penetrating radar (GPR) is a widely used sensor for land mine detection. However, GPR signal return is very susceptible to ground bounce and reflection of clutter objects, which makes the detection a difficult problem to date. In this paper, we propose to utilize two-sided linear prediction (LP) to model the background interference and then employ the residue energy to generate the test statistic. It is demonstrated from real GPR data that the proposed scheme is able to significantly suppress the interference due to ground reflection and is superior to the adaptive ground bounce removal and one-sided LP methods.