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  4. FRIDA: FRI-Based DOA Estimation For Arbitrary Array Layouts
 
conference paper

FRIDA: FRI-Based DOA Estimation For Arbitrary Array Layouts

Pan, Hanjie  
•
Scheibler, Robin  
•
Bezzam, Eric Francis  
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2017
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2017

In this paper we present FRIDA—an algorithm for estimating directions of arrival of multiple wideband sound sources. FRIDA combines multi-band information coherently and achieves state- of-the-art resolution at extremely low signal-to-noise ratios. It works for arbitrary array layouts, but unlike the various steered response power and subspace methods, it does not require a grid search. FRIDA leverages recent advances in sampling signals with a finite rate of innovation. It is based on the insight that for any array layout, the entries of the spatial covariance matrix can be linearly transformed into a uniformly sampled sum of sinusoids.

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Type
conference paper
DOI
10.1109/ICASSP.2017.7952744
Web of Science ID

WOS:000414286203070

Author(s)
Pan, Hanjie  
Scheibler, Robin  
Bezzam, Eric Francis  
Dokmanic, Ivan  
Vetterli, Martin  
Date Issued

2017

Publisher

IEEE

Publisher place

New York

Published in
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ISBN of the book

978-1-5090-4117-6

Total of pages

5

Start page

3186

End page

3190

Subjects

Direction of arrival

•

finite rate of innovation

•

subspace method

•

search-free

•

wideband sources

•

LCAV-APDA

URL

URL

http://go.epfl.ch/FRIDA

URL

https://github.com/LCAV/FRIDA

URL

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SVQBEP
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCAV  
Event nameEvent placeEvent date
ICASSP 2017

New Orleans, USA

March 5-9, 2017

Available on Infoscience
December 13, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/131954
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