Acoustic Source Localization in a Network of Doppler Shift Sensors

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dc.authoridHendeby, Gustaf/0000-0002-1971-4295
dc.contributor.authorLindgren, David
dc.contributor.authorGuldogan, Mehmet B.
dc.contributor.authorGustafsson, Fredrik
dc.contributor.authorHabberstad, Hans
dc.contributor.authorHendeby, Gustaf
dc.date.accessioned2025-10-24T18:10:31Z
dc.date.available2025-10-24T18:10:31Z
dc.date.issued2013
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description16th International Conference on Information Fusion (FUSION) -- JUL 09-12, 2013 -- Istanbul, TURKEY
dc.description.abstractIt 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 numbers of 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 demonstrated on real data by determining the distance to a passing propeller-driven aircraft and by localizing an all-terrain vehicle. It is concluded that the processing components included are fairly mature for practical implementations in sensor networks.
dc.description.sponsorshipwedish Foundation for Strategic Research (SSF); Swedish Governmental Agency; SSF; VINNOVA
dc.description.sponsorshipThis work is part of the project Collaborative Localization at Linkoping University, which is funded by the Swedish Foundation for Strategic Research (SSF) and also part of the Centre for Advanced Sensors, Multisensors and Sensor Networks, FOCUS, at the Swedish Defence Research Agency, FOI, funded by Swedish Governmental Agency for Innovation Systems (VINNOVA). We gratefully acknowledge the support from SSF and VINNOVA which made this work possible.
dc.description.sponsorshipHAVELSAN,METEKSAN SAVUNMA,TUBITAK,METRON Sci Solut,Off Naval Res Global Sci & Technol,Ankara Univ,Sabanci Univ,STM,TAI,ASELSAN,Koc Bilgi Savunma Teknolojileri A S,Kale Havacilik,Int Soc Infromat Fus,IEEE,AESS
dc.identifier.endpage1288
dc.identifier.isbn978-605-86311-1-3
dc.identifier.issn#DEĞER!
dc.identifier.scopus2-s2.0-84890810644
dc.identifier.scopusqualityN/A
dc.identifier.startpage1281
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4233
dc.identifier.wosWOS:000341370000170
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2013 16th International Conference On Information Fusion (Fusion)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectWigner-Ville Distribution; Parameter-Estimation; Aircraft
dc.titleAcoustic Source Localization in a Network of Doppler Shift Sensors
dc.typeConference Object

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