7 June 2012 Enhancing nuclear quadrupole resonance (NQR) signature detection leveraging interference suppression algorithms
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Abstract
Nuclear quadrupole resonance (NQR) is a radio frequency (RF) magnetic spectroscopic technique that has been shown to detect and identify a wide range of explosive materials containing quadrupolar nuclei. The NQR response signal provides a unique signature of the material of interest. The signal is, however, very weak and can be masked by non-stationary RF interference (RFI) and thermal noise, limiting detection distance. In this paper, we investigate the bounds on the NQR detection range for ammonium nitrate. We leverage a low-cost RFI data acquisition system composed of inexpensive B-field sensing and commercial-off-the-shelf (COTS) software-defined radios (SDR). Using collected data as RFI reference signals, we apply adaptive filtering algorithms to mitigate RFI and enable NQR detection techniques to approach theoretical range bounds in tactical environments.
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James A. DeBardelaben, Jeremy K. Miller, Wilbur L. Myrick, Joel B. Miller, G. Charmaine Gilbreath, Blerta Bajramaj, "Enhancing nuclear quadrupole resonance (NQR) signature detection leveraging interference suppression algorithms", Proc. SPIE 8382, Active and Passive Signatures III, 838206 (7 June 2012); doi: 10.1117/12.920942; https://doi.org/10.1117/12.920942
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