Beacon-aided adaptive localization of noise sources aboard a pass-by railcar using a trackside microphone array

Yue Ivan Wu, Siu Kit Lau, Kainam Thomas Wong, Shiu Keung Tang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Article number5512674
Pages (from-to)3720-3727
Number of pages8
JournalIEEE Transactions on Vehicular Technology
Volume59
Issue number8
DOIs
Publication statusPublished - 1 Oct 2010

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

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this