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Indoor Localization Using Audio Features of FM Radio Signals

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Modeling and Using Context (CONTEXT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6967))

Abstract

Typical localization systems use various features of the signal to estimate the distance, including received signal strength indicator (RSSI), timing information or angle of arrival (AoA). However, there are a number of signal features of FM radio that may also be suitable for localization, namely stereo channel separation (SCS) and signal to noise ratio (SNR). This paper investigates the feasibility of indoor localization using fingerprinting of audio features of FM radio signals emitted by low-power FM transmitters using SNR and SCS values. The experimental results demonstrate the possibility of audio-based localization, when signal strength readings are not available.

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References

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Author information

Authors and Affiliations

  1. Create-Net, Via alla Cascata 56/D, 38123, Trento, TN, Italy

    Andrei Popleteev, Venet Osmani, Oscar Mayora & Aleksandar Matic

Authors
  1. Andrei Popleteev
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  2. Venet Osmani
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  3. Oscar Mayora
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  4. Aleksandar Matic
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Editor information

Editors and Affiliations

  1. TecO/Pervasive Computing Systems, Karlsruhe Institute of Technology, Am Fasanengarten 5, 76131, Karlsruhe, Germany

    Michael Beigl  & Hedda R. Schmidtke  & 

  2. Department of Communication, Business and Information Technologies, Roskilde University, P.O. box 260, 4000, Roskilde, Denmark

    Henning Christiansen

  3. Institut für Informatik, AG Erklärungsfähige Softwaresystems, Universität Hildesheim, Marienburger Platz 22, 31141, Hildesheim, Germany

    Thomas R. Roth-Berghofer

  4. Department of Computer and Information Science, Intelligent Systems Group, Norwegian University of Science and Technology (NTNU), Sem Saelandsvei 7-9,, 7491, Trondheim, Norway

    Anders Kofod-Petersen

  5. Cognition and Communication Research Centre, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK

    Kenny R. Coventry

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© 2011 Springer-Verlag Berlin Heidelberg

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Popleteev, A., Osmani, V., Mayora, O., Matic, A. (2011). Indoor Localization Using Audio Features of FM Radio Signals. In: Beigl, M., Christiansen, H., Roth-Berghofer, T.R., Kofod-Petersen, A., Coventry, K.R., Schmidtke, H.R. (eds) Modeling and Using Context. CONTEXT 2011. Lecture Notes in Computer Science(), vol 6967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24279-3_26

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  • DOI: https://doi.org/10.1007/978-3-642-24279-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24278-6

  • Online ISBN: 978-3-642-24279-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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