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

Abstract

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.

A Method for Evaluating the Accuracy of Vocal Art Performance of Singers’ Voices Based on Sensor Space Localization Algorithm

“…It is not only necessary to consider the voice characteristics of the singer, but also the characteristics of the song, such as the song's requirements for singing ability, and what kind of timbre is more appropriate to interpret the emotion of the song. erefore, when analyzing the sound characteristics, it is necessary to consider the degree of matching with the song [23][24][25]. Different songs have different singing difficulties, and some songs require a wide range and many treble parts.…”