Application of the LMS Algorithm to Anomaly Detection Using the Wichmann/Niitek Ground Penetrating Radar

Published

Conference Paper

This paper describes the application of a 2-dimensional (2-D) lattice LMS algorithm for anomaly detection using the Wichmann/Niitek ground penetrating radar (GPR) system. Sets of 3-dimensional (3-D) data are collected from the GPR system and these are processed in separate 2-D slices. Those 2-D slices that are spatially correlated in depth are combined into separate "depth segments" and these are processed independently. When target/no target declarations need to be made, the individual depth segments are combined to yield a 2-D confidence map. The 2-D confidence map is then thresholded and alarms are placed at the centroids of the remaining 8-connected data points. Calibration lane results are presented for data collected over several soil types under several weather conditions. Results show show a false alarm rate improvement of at least an order of magnitude over other GPR systems, as well as significant improvement over other adaptive algorithms operating on the same data.

Full Text

Duke Authors

Cited Authors

  • Torrione, P; Collins, L; Clodfelter, F; Frasier, S; Starnes, I

Published Date

  • November 26, 2003

Published In

Volume / Issue

  • 5089 / 2

Start / End Page

  • 1127 - 1136

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.487241

Citation Source

  • Scopus