Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport

Filip Elvander; Isabel Haasler; Andreas Jakobsson; Johan Karlsson

doi:10.23919/EUSIPCO.2018.8553068

Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport

Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

In this work, we propose new methods for information fusion and tracking in direction of arrival (DOA) estimation by utilizing an optimal mass transport framework. Sensor array measurements in DOA estimation may not be consistent due to misalignments and calibration errors. By using optimal mass transport as a notion of distance for combining the information obtained from all the sensor arrays, we obtain an approach that can prevent aliasing and is robust to array misalignments. For the case of sequential tracking, the proposed method updates the DOA estimate using the new measurements and an optimal mass transport prior. In the case of sensor fusion, information from several, individual, sensor arrays is combined using a barycenter formulation of optimal mass transport.

Original language	English
Title of host publication	26th European Signal Processing Conference, EUSIPCO 2018
Publisher	European Association for Signal Processing (EURASIP)
Pages	1631-1635
Number of pages	5
ISBN (Electronic)	978-90-827970-1-5
DOIs	https://doi.org/10.23919/EUSIPCO.2018.8553068
Publication status	Published - 2018
Event	26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italy Duration: 2018 Sept 3 → 2018 Sept 7

Conference

Conference	26th European Signal Processing Conference, EUSIPCO 2018
Country/Territory	Italy
City	Rome
Period	2018/09/03 → 2018/09/07

Subject classification (UKÄ)

Signal Processing
Probability Theory and Statistics

Access to Document

10.23919/EUSIPCO.2018.8553068

Cite this

@inproceedings{2471de5ee0a943adaefe85593b7e61b1,

title = "Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport",

abstract = "In this work, we propose new methods for information fusion and tracking in direction of arrival (DOA) estimation by utilizing an optimal mass transport framework. Sensor array measurements in DOA estimation may not be consistent due to misalignments and calibration errors. By using optimal mass transport as a notion of distance for combining the information obtained from all the sensor arrays, we obtain an approach that can prevent aliasing and is robust to array misalignments. For the case of sequential tracking, the proposed method updates the DOA estimate using the new measurements and an optimal mass transport prior. In the case of sensor fusion, information from several, individual, sensor arrays is combined using a barycenter formulation of optimal mass transport.",

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

year = "2018",

doi = "10.23919/EUSIPCO.2018.8553068",

language = "English",

pages = "1631--1635",

booktitle = "26th European Signal Processing Conference, EUSIPCO 2018",

publisher = "European Association for Signal Processing (EURASIP)",

note = "26th European Signal Processing Conference, EUSIPCO 2018 ; Conference date: 03-09-2018 Through 07-09-2018",

}

Elvander, F, Haasler, I, Jakobsson, A & Karlsson, J 2018, Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport. in 26th European Signal Processing Conference, EUSIPCO 2018. European Association for Signal Processing (EURASIP), pp. 1631-1635, 26th European Signal Processing Conference, EUSIPCO 2018, Rome, Italy, 2018/09/03. https://doi.org/10.23919/EUSIPCO.2018.8553068

Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport. / Elvander, Filip; Haasler, Isabel; Jakobsson, Andreas et al.

26th European Signal Processing Conference, EUSIPCO 2018. European Association for Signal Processing (EURASIP), 2018. p. 1631-1635.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport

AU - Elvander, Filip

AU - Haasler, Isabel

AU - Jakobsson, Andreas

AU - Karlsson, Johan

PY - 2018

Y1 - 2018

N2 - In this work, we propose new methods for information fusion and tracking in direction of arrival (DOA) estimation by utilizing an optimal mass transport framework. Sensor array measurements in DOA estimation may not be consistent due to misalignments and calibration errors. By using optimal mass transport as a notion of distance for combining the information obtained from all the sensor arrays, we obtain an approach that can prevent aliasing and is robust to array misalignments. For the case of sequential tracking, the proposed method updates the DOA estimate using the new measurements and an optimal mass transport prior. In the case of sensor fusion, information from several, individual, sensor arrays is combined using a barycenter formulation of optimal mass transport.

AB - In this work, we propose new methods for information fusion and tracking in direction of arrival (DOA) estimation by utilizing an optimal mass transport framework. Sensor array measurements in DOA estimation may not be consistent due to misalignments and calibration errors. By using optimal mass transport as a notion of distance for combining the information obtained from all the sensor arrays, we obtain an approach that can prevent aliasing and is robust to array misalignments. For the case of sequential tracking, the proposed method updates the DOA estimate using the new measurements and an optimal mass transport prior. In the case of sensor fusion, information from several, individual, sensor arrays is combined using a barycenter formulation of optimal mass transport.

U2 - 10.23919/EUSIPCO.2018.8553068

DO - 10.23919/EUSIPCO.2018.8553068

M3 - Paper in conference proceeding

SP - 1631

EP - 1635

BT - 26th European Signal Processing Conference, EUSIPCO 2018

PB - European Association for Signal Processing (EURASIP)

T2 - 26th European Signal Processing Conference, EUSIPCO 2018

Y2 - 3 September 2018 through 7 September 2018

ER -

Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport

Abstract

Conference

Subject classification (UKÄ)

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