Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22769
Title: Beacon-aided adaptive localization of noise sources aboard a pass-by railcar using a trackside microphone array
Authors: Wu, YI
Lau, SK
Wong, KT
Tang, SK 
Keywords: Acoustic beam focusing
acoustic beam steering
acoustic beams
acoustic distance measurement
acoustic imaging
acoustic interferometry
acoustic measurements
acoustic noise measurement
acoustic position measurement
acoustic signal processing
acoustic tracking
array signal processing
estimation of the direction of arrival (DOA)
image sensors
microphones
noise measurement
phased arrays
position measurement
rail transportation
rail transportation testing
spatial filters
tracking
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on vehicular technology, 2010, v. 59, no. 8, 5512674, p. 3720-3727 How to cite?
Journal: IEEE transactions on vehicular technology 
Abstract: A new adaptive "beamforming" signal-processing algorithm is developed to locate the loudest noise sources aboard a railcar that passes by a trackside immobile microphone array. This proposed microphone-array beamformer tracks the railcar's spatial movement with the aid of two inaudible acoustic beacons placed aboard the railcar. The proposed scheme then localizes the noise sources with reference to the railcar's coordinates. No auxiliary infrastructure (e.g., no radar or video camera) is needed besides the onboard beacons. Monte Carlo simulations and anechoic chamber experiments verify the efficacy of the proposed scheme.
URI: http://hdl.handle.net/10397/22769
ISSN: 0018-9545
EISSN: 1939-9359
DOI: 10.1109/TVT.2010.2059056
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