Acoustic Source Localization in a Network of Doppler Shift Sensors
2013 (English)In: 16th International Conference on Information Fusion, Institute of Electrical and Electronics Engineers (IEEE), 2013Conference paper (Refereed)
It is well-known that the motion of an acoustic source can be estimated from Doppler shift observations. It ishowever 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 onreal data by determining the distance to a passing propellerdriven 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.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2013.
Control Engineering Signal Processing
IdentifiersURN: urn:nbn:se:liu:diva-97309ISI: 000341370000170ISBN: 978-605863111-3OAI: oai:DiVA.org:liu-97309DiVA: diva2:646335
16th International Conference on Information Fusion, 9-12 July 2013, Istanbul, Turkey
ProjectsSSF Colaborative Localization
FunderSwedish Foundation for Strategic Research