DoA reliability for distributed acoustic tracking

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Title: DoA reliability for distributed acoustic tracking
Authors: Evers, C
Habets, EAP
Gannot, S
Naylor, PA
Item Type: Journal Article
Abstract: Distributed acoustic tracking estimates the trajectories of source positions using an acoustic sensor network. As it is often difficult to estimate the source-sensor range from individual nodes, the source positions have to be inferred from Direction of Arrival (DoA) estimates. Due to reverberation and noise, the sound field becomes increasingly diffuse with increasing source-sensor distance, leading to decreased DoA estimation accuracy. To distinguish between accurate and uncertain DoA estimates, this paper proposes to incorporate the Coherent-to-Diffuse Ratio as a measure of DoA reliability for single-source tracking. It is shown that the source positions therefore can be probabilistically triangulated by exploiting the spatial diversity of all nodes.
Issue Date: 1-Sep-2018
Date of Acceptance: 6-Jun-2018
URI: http://hdl.handle.net/10044/1/61068
DOI: https://doi.org/10.1109/LSP.2018.2849579
ISSN: 1070-9908
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 1320
End Page: 1324
Journal / Book Title: IEEE Signal Processing Letters
Volume: 25
Issue: 9
Copyright Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/P001017/1
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Acoustic sensors
Bayes' methods
smart homes
SOURCE LOCALIZATION
SEPARATION
MODEL
ARRAY
0906 Electrical and Electronic Engineering
Networking & Telecommunications
Publication Status: Published
Online Publication Date: 2018-06-21
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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