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Tracking and sensor fusion in direction of arrival estimation using optimal mass transport
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).ORCID iD: 0000-0001-5158-9255
2018 (English)In: 2018 26th European Signal Processing Conference (EUSIPCO), European Signal Processing Conference, EUSIPCO , 2018, p. 1617-1621Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
European Signal Processing Conference, EUSIPCO , 2018. p. 1617-1621
Series
European Signal Processing Conference, ISSN 2219-5491
Keywords [en]
Direction of arrival, Optimal mass transport, Sensor fusion, Spectral estimation, Target tracking
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-241524DOI: 10.23919/EUSIPCO.2018.8553068ISI: 000455614900325Scopus ID: 2-s2.0-85059812841ISBN: 9789082797015 (print)OAI: oai:DiVA.org:kth-241524DiVA, id: diva2:1281878
Conference
26th European Signal Processing Conference, EUSIPCO 2018, Rome, Italy, 3 September 2018 through 7 September 2018
Funder
Swedish Research CouncilCarl Tryggers foundation
Note

QC 20190123

Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-02-04Bibliographically approved

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Haasler, IsabelKarlsson, Johan

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf