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Proceedings Paper

Kalman filter-based approach to target detection and target-background separtion in ground-penetrating radar data
Author(s): Dragana Carevic
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Paper Abstract

The returns from shallowly buried targets measured using Ground Penetrating Radar (GPR) are typically obscured by a strong background signal comprised of the reflections from the air-soil interface. A Kalman filter-based approach is proposed to estimate this background signal and to separate it from the target return.In the absence of the target the filter operates using a 'quiescent state model' in which it computes the background estimate. A statistic based on measurement innovation is applied to detect the target position. Upon detection the state is augmented by a new component which allows for the change of the signal corresponding to the presence of the target return.

Paper Details

Date Published: 2 August 1999
PDF: 5 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357011
Show Author Affiliations
Dragana Carevic, Defence Science and Technology Organisation (Australia)

Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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