Imperial College London

Dr Patrick A. Naylor

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Speech & Acoustic Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6235p.naylor Website

 
 
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Location

 

803Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Evers:2018:10.1109/LSP.2018.2849579,
author = {Evers, C and Habets, EAP and Gannot, S and Naylor, PA},
doi = {10.1109/LSP.2018.2849579},
journal = {IEEE Signal Processing Letters},
pages = {1320--1324},
title = {DoA reliability for distributed acoustic tracking},
url = {http://dx.doi.org/10.1109/LSP.2018.2849579},
volume = {25},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Evers,C
AU - Habets,EAP
AU - Gannot,S
AU - Naylor,PA
DO - 10.1109/LSP.2018.2849579
EP - 1324
PY - 2018///
SN - 1070-9908
SP - 1320
TI - DoA reliability for distributed acoustic tracking
T2 - IEEE Signal Processing Letters
UR - http://dx.doi.org/10.1109/LSP.2018.2849579
UR - http://hdl.handle.net/10044/1/61068
VL - 25
ER -