Statistically based sequential detection of buried mines from array ground-penetrating radar data

Xiaoyin Xu; Eric L. Miller; Carey M. Rappaport

doi:10.1117/12.356987

2 August 1999 Statistically based sequential detection of buried mines from array ground-penetrating radar data

Xiaoyin Xu, Eric L. Miller, Carey M. Rappaport

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.356987
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

We consider the problem of detecting and localizing buried landmines from a ground penetrating radar (GPR) array. A simplified, ray-optics-based physical mode for time domain GPR returns is presented. Under this model in the absence of an object from the field of view of the array, there exist well defined symmetries in the structure of the radar returns. In particular, for a bistatic system composed of one length M transmit array and a second length M array of receivers, we identify M subsets of signals from the M² transmit array and a second length M array of receivers, we identify M subsets of signals from the M² total transmitter/receiver paris such that the mean value of the signals within each subset should be the same when no object is present. This relationship then forms the basis for a modified Hotelling's T²-test to detect the presence of objects when there is noise in the signal. Simulation results demonstrate the validity of these methods.

Citation Download Citation

Xiaoyin Xu, Eric L. Miller, and Carey M. Rappaport "Statistically based sequential detection of buried mines from array ground-penetrating radar data", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.356987

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