Landmine detection using feedback NQR

Andrew J. Blauch, Jeffrey Louis Schiano, Mark D. Ginsberg

    Research output: Contribution to journalConference articlepeer-review

    5 Scopus citations

    Abstract

    Nuclear quadrupole resonance (NQR) is well suited for detecting land mines with non-metallic cases. It provides both spatial localization and chemical identification of explosives. A search coil produces a train of radio frequency (RF) magnetic pulses that perturb the orientation of nitrogen nuclei contained within the explosive material. Following each RF pulse, the nuclei rotate back to orientations of lower energy. As the nitrogen nuclei possess a magnetic moment, their motion following an RF pulse induces a detectable voltage in the search coil. The NQR signal strength depends on the amplitude, frequency, duration and repetition rate of the applied RF pulses. The optimal selection of RF parameters requires knowledge that is not available in practice, such as the location of the explosive with respect to the search coil. Existing NQR detection systems sacrifice signal intensity by using fixed pulse parameters. We demonstrate that feedback control provides a means for automatically adjusting multiple pulse parameters so that the maximum NQR signal strength is obtained. The advantages afforded to landmine detection using feedback NQR are summarized.

    Original languageEnglish (US)
    Pages (from-to)464-473
    Number of pages10
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume3710
    Issue numberI
    StatePublished - Jan 1 1999
    EventProceedings of the 1999 Detection and Remediation Technologies for Mines and Minelike Targets IV - Orlando, FL, USA
    Duration: Apr 5 1999Apr 9 1999

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Landmine detection using feedback NQR'. Together they form a unique fingerprint.

    Cite this