Kalman filtering for enhanced landmine detection using quadrupole resonance

Published

Journal Article

Quadrupole resonance (QR) is a novel technology recently applied to landmine detection. The detection process is specific to the chemistry of the explosive, and therefore is less susceptible to the types of false alarms experienced by metal detectors and ground-penetrating radars. Although QR is vulnerable to radio-frequency interference (RFI) when the sensor is deployed in the field, adaptive RFI mitigation can remove most of the RFI. In this paper, advanced signal processing algorithms applied to the postmitigation signal are studied to enhance explosive detection. A new Kalman filtering strategy is proposed to estimate and detect the QR signal in the postmitigation signal. The results using both simulated data and experimental data show that the proposed algorithm can provide robust landmine detection performance. © 2005 IEEE.

Full Text

Duke Authors

Cited Authors

  • Tan, Y; Tantum, SL; Collins, LM

Published Date

  • July 1, 2005

Published In

Volume / Issue

  • 43 / 7

Start / End Page

  • 1507 - 1516

International Standard Serial Number (ISSN)

  • 0196-2892

Digital Object Identifier (DOI)

  • 10.1109/TGRS.2005.846863

Citation Source

  • Scopus