Abstract

The quadrupole resonance (QR) technology can be used as a confirming sensor for buried plastic landmine detection by detecting the explosives within the mine. We focus herein on the detection of TNT mines via the QR sensor. Since the frequency of the QR signal is located within the AM radio frequency band, the QR signal can be corrupted by strong radio frequency interferences (RFIs). Hence to detect the very weak QR signal, RFI mitigation is essential. Reference antennas, which receive RFIs only, can be used together with the main antenna, which receives both the QR signal and the RFIs, for RFI mitigation. The RFIs are usually colored both spatially and temporally, and hence exploiting only the spatial diversity of the antenna array may not give the best performance. We exploit herein both the spatial and temporal correlations of the RFIs to improve the TNT detection performance.

Highlights

  • The quadrupole resonance (QR) technology has been receiving increasing attention for explosive detection in applications including landmine detection [1,2,3,4]

  • We have investigated the radio frequency interferences (RFIs) mitigation for landmine detection by QR

  • We have first considered exploiting the spatial correlations of the RFIs only and proposed an ML estimator for signal amplitude estimation and a constant false alarm rate (CFAR) detector for TNT detection

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Summary

Introduction

The quadrupole resonance (QR) technology has been receiving increasing attention for explosive detection in applications including landmine detection [1,2,3,4]. It can be used as a confirming sensor for buried plastic landmine detection by detecting the explosives (e.g., trinitrotoluene (TNT) and Royal Demolition eXplosive (RDX)) within the mine. When the 14N in the TNT is excited by a sequence of pulses, it will emit a signal consisting of a sequence of echoes [1, 5]. The waveform of the QR signal is known a priori to within a multiplicative constant [5]

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