2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDAUD-27.1
Paper Title ITERATIVE GEOMETRY CALIBRATION FROM DISTANCE ESTIMATES FOR WIRELESS ACOUSTIC SENSOR NETWORKS
Authors Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach, Paderborn University, Germany
SessionAUD-27: Acoustic Sensor Array Processing 1: Array Design and Calibration
LocationGather.Town
Session Time:Friday, 11 June, 11:30 - 12:15
Presentation Time:Friday, 11 June, 11:30 - 12:15
Presentation Poster
Topic Audio and Acoustic Signal Processing: [AUD-ASAP] Acoustic Sensor Array Processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract In this paper we present an approach to geometry calibration in wireless acoustic sensor networks, whose nodes are assumed to be equipped with a compact microphone array. The proposed approach solely works with estimates of the distances between acoustic sources and the nodes that record these sources. It consists of an iterative weighted least squares localization procedure, which is initialized by multidimensional scaling. Alongside the sensor node locations, also the positions of the acoustic sources are estimated. Furthermore, we derive the Cramer-Rao lower bound (CRLB) for source and sensor position estimation, and show by simulation that the estimator is efficient.