Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport

Filip Elvander; Isabel Haasler; Andreas Jakobsson; Johan Karlsson

doi:10.1109/ICASSP.2019.8682186

Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport

Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson

KTH Royal Institute of Technology

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of the spatial spectrum using a convex barycenter formulation. We introduce an entropy regularization term to the convex objective, which allows for low-complexity iterations of the solu- tion algorithm and thus makes the proposed method applicable also to higher-dimensional problems. We illustrate the proposed method’s inherent robustness to misalignment and miscalibration of the sensor arrays using numerical examples of localization in two dimensions.

Originalspråk	engelska
Titel på värdpublikation	Acoustics, Speech and Signal Processing (ICASSP), 2019 IEEE International Conference on
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	4415-4419
Antal sidor	5
ISBN (elektroniskt)	978-1-4799-8131-1
DOI	https://doi.org/10.1109/ICASSP.2019.8682186
Status	Published - 2019
Evenemang	IEEE International Conference on Acoustics, Speech, and Signal Processing 2019 - Brighton, Storbritannien Varaktighet: 2019 maj 13 → 2019 maj 17 Konferensnummer: 44

Konferens

Konferens	IEEE International Conference on Acoustics, Speech, and Signal Processing 2019
Förkortad titel	ICASSP 2019
Land/Territorium	Storbritannien
Ort	Brighton
Period	2019/05/13 → 2019/05/17

Ämnesklassifikation (UKÄ)

Signalbehandling
Sannolikhetsteori och statistik

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10.1109/ICASSP.2019.8682186

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@inproceedings{9d8b09e64bfa4fe3852c2362db372599,

title = "Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport",

abstract = "This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of the spatial spectrum using a convex barycenter formulation. We introduce an entropy regularization term to the convex objective, which allows for low-complexity iterations of the solu- tion algorithm and thus makes the proposed method applicable also to higher-dimensional problems. We illustrate the proposed method{\textquoteright}s inherent robustness to misalignment and miscalibration of the sensor arrays using numerical examples of localization in two dimensions.",

keywords = "optimal mass transport, entropy regularization, target localization, non-coherent processing",

author = "Filip Elvander and Isabel Haasler and Andreas Jakobsson and Johan Karlsson",

year = "2019",

doi = "10.1109/ICASSP.2019.8682186",

language = "English",

pages = "4415--4419",

booktitle = "Acoustics, Speech and Signal Processing (ICASSP), 2019 IEEE International Conference on",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "IEEE International Conference on Acoustics, Speech, and Signal Processing 2019, ICASSP 2019 ; Conference date: 13-05-2019 Through 17-05-2019",

}

Elvander, F, Haasler, I, Jakobsson, A & Karlsson, J 2019, Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport. i Acoustics, Speech and Signal Processing (ICASSP), 2019 IEEE International Conference on. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 4415-4419, IEEE International Conference on Acoustics, Speech, and Signal Processing 2019, Brighton, Storbritannien, 2019/05/13. https://doi.org/10.1109/ICASSP.2019.8682186

Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport. / Elvander, Filip; Haasler, Isabel; Jakobsson, Andreas et al.

Acoustics, Speech and Signal Processing (ICASSP), 2019 IEEE International Conference on. IEEE - Institute of Electrical and Electronics Engineers Inc., 2019. s. 4415-4419.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport

AU - Elvander, Filip

AU - Haasler, Isabel

AU - Jakobsson, Andreas

AU - Karlsson, Johan

N1 - Conference code: 44

PY - 2019

Y1 - 2019

N2 - This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of the spatial spectrum using a convex barycenter formulation. We introduce an entropy regularization term to the convex objective, which allows for low-complexity iterations of the solu- tion algorithm and thus makes the proposed method applicable also to higher-dimensional problems. We illustrate the proposed method’s inherent robustness to misalignment and miscalibration of the sensor arrays using numerical examples of localization in two dimensions.

AB - This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of the spatial spectrum using a convex barycenter formulation. We introduce an entropy regularization term to the convex objective, which allows for low-complexity iterations of the solu- tion algorithm and thus makes the proposed method applicable also to higher-dimensional problems. We illustrate the proposed method’s inherent robustness to misalignment and miscalibration of the sensor arrays using numerical examples of localization in two dimensions.

KW - optimal mass transport

KW - entropy regularization

KW - target localization

KW - non-coherent processing

U2 - 10.1109/ICASSP.2019.8682186

DO - 10.1109/ICASSP.2019.8682186

M3 - Paper in conference proceeding

SP - 4415

EP - 4419

BT - Acoustics, Speech and Signal Processing (ICASSP), 2019 IEEE International Conference on

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing 2019

Y2 - 13 May 2019 through 17 May 2019

ER -

Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport

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