Robust Multi-Sensor Detection of Polymorphic NQR Signals

Butt, Naveed R.; Jakobsson, Andreas

doi:10.1109/acssc.2007.4487456

Cited by 2 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A different approach for cancelling interference can be based on using multiple channels for data collection. Researchers accordingly proposed useful (beamforming) algorithms for detecting NQR signals [13][14][15][16][17]. These algorithms can separate the NQR signal, the interference, and the noise assuming the three are non-correlated with each other, and select/detect the NQR signal.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

An advanced beamforming approach based on two-channel echo-train system to cancel interference within an NQR signal resonance spectrum

2019

View full text Add to dashboard Cite

An advanced beamforming approach based on two-channel echotrain system to cancel interference within an NQR signal resonance spectrum. SIGNAL PROCESSING.Please cite this article as: Weihang Shao, Jamie Barras, Panagiotis Kosmas, An advanced beamforming approach based on two-channel echo-train system to cancel interference within an NQR signal resonance spectrum, Signal Processing (2018), doi: https://doi.• This paper introduces a two-channel echo-train (TE) data acquisition system used in NQR signal detection and discovers/proves the beamforming characteristics of the TE system.• A novel beamforming approach based on this TE system is proposed which can nicely cancel interference within NQR resonance spectrum.• The proposed algorithm has excellent performance on detecting NQR signal polluted by interference and is superior to previously proposed algorithms, including the classical beamforming algorithms/detectors constructed on the TE system. AbstractInterference can be a huge challenge for Nuclear Quadrupole Resonance (NQR) signal detection in real life settings. The problem is particularly challenging when interference is strong around the resonant frequency band of the targeted NQR signal (to which we refer as the NQR band). This paper first proves the beamforming characteristics of a designed two-channel echo-train (TE) data acquisition system, and then presents a novel beamforming approach which is based on the TE system and is able to cancel interference effectively within the NQR band. After interference cancellation, NQR signal detection can be done successfully by applying an "echo train" approximate maximum likelihood (ETAML) algorithm to the residual data. The proposed algorithm is shown to be superior to previously proposed algorithms, including the classical beamforming algorithms/detectors constructed on the TE system, for detecting NQR signal polluted by interference.

show abstract

Section: Accepted Manuscriptmentioning

confidence: 99%