Improved modeling and bounds for NQR spectroscopy signals

Improved modeling and bounds for NQR spectroscopy signals. Kyriakidou, G., Jakobsson, A., Gudmundson, E., Gregorovič, A., Barras, J., & Althoefer, K. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 2325-2329, Sep., 2014.

Paper abstract bibtex

Nuclear Quadrupole Resonance (NQR) is a method of detection and unique characterization of compounds containing quadrupolar nuclei, commonly found in many forms of explosives, narcotics, and medicines. Typically, multi-pulse sequences are used to acquire the NQR signal, allowing the resulting signal to be well modeled as a sum of exponentially damped sinusoidal echoes. In this paper, we improve upon the earlier used NQR signal model, introducing an observed amplitude modulation of the spectral lines as a function of the sample temperature. This dependency noticeably affects the achievable identification performance in the typical case when the substance temperature is not perfectly known. We further extend the recently presented Cramér-Rao lower bound to the more detailed model, allowing one to determine suitable experimental conditions to optimize the detection and identifiability of the resulting signal. The theoretical results are carefully motivated using extensive NQR measurements.

@InProceedings{6952845,
  author = {G. Kyriakidou and A. Jakobsson and E. Gudmundson and A. Gregorovič and J. Barras and K. Althoefer},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Improved modeling and bounds for NQR spectroscopy signals},
  year = {2014},
  pages = {2325-2329},
  abstract = {Nuclear Quadrupole Resonance (NQR) is a method of detection and unique characterization of compounds containing quadrupolar nuclei, commonly found in many forms of explosives, narcotics, and medicines. Typically, multi-pulse sequences are used to acquire the NQR signal, allowing the resulting signal to be well modeled as a sum of exponentially damped sinusoidal echoes. In this paper, we improve upon the earlier used NQR signal model, introducing an observed amplitude modulation of the spectral lines as a function of the sample temperature. This dependency noticeably affects the achievable identification performance in the typical case when the substance temperature is not perfectly known. We further extend the recently presented Cramér-Rao lower bound to the more detailed model, allowing one to determine suitable experimental conditions to optimize the detection and identifiability of the resulting signal. The theoretical results are carefully motivated using extensive NQR measurements.},
  keywords = {explosives;nuclear quadrupole resonance;signal detection;NQR spectroscopy signals;nuclear quadrupole resonance;compounds detection;quadrupolar nuclei;explosives;narcotics;medicines;sinusoidal echoes;spectral lines;Cramér-Rao lower bound;Temperature measurement;Data models;Radio frequency;Frequency measurement;Temperature dependence;Resonant frequency;Uncertainty;Nuclear Quadrupole Resonance;temperature dependence;off-resonance effects;Cramér-Rao lower bound},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569924619.pdf},
}

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