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Distributed localization using acoustic Doppler
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-1971-4295
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2015 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 107, 43-53 p.Article in journal (Refereed) Published
Abstract [en]

 It is well-known that the motion of an acoustic source can be estimated from Doppler shift observations. It is however not obvious how to design a sensor network to efficiently deliver the localization service. In this work a rather simplistic motion model is proposed that is aimed at sensor networks with realistic numbersof sensor nodes. It is also described how to efficiently solve the associated least squares optimization problem by Gauss-Newton variable projection techniques, and how to initiate the numerical search from simple features extracted from the observed frequency series. The methods are evaluated by Monte Carlo simulations and demonstrated on real data by localizing an all-terrain vehicle. Itis concluded that the processing components included are fairly mature for practical implementations in sensor networks.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 107, 43-53 p.
Keyword [en]
Acoustic tracking, Sensor network, Acoustic Doppler, Localization, Variable projection
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-113503DOI: 10.1016/j.sigpro.2014.06.031ISI: 000347759500005OAI: oai:DiVA.org:liu-113503DiVA: diva2:782101
Projects
SSF Cooploc
Funder
Swedish Foundation for Strategic Research , RIT10-0051
Available from: 2015-01-20 Created: 2015-01-20 Last updated: 2017-12-05

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fulltext(389 kB)242 downloads
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