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Indoor Localization Using Audio Features of FM Radio Signals

  • Andrei Popleteev
  • Venet Osmani
  • Oscar Mayora
  • Aleksandar Matic
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Receive Signal Strength Receive Signal Strength Indicator Audio Feature Pilot Subcarrier Receive Signal Strength Indicator Measurement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Matic, A., Popleteev, A., Osmani, V., Mayora, O.: FM radio for indoor localisation with spontaneous recalibration. J. of Pervasive and Mobile Computing 6(6), 642–656 (2010)CrossRefGoogle Scholar
  2. 2.
    ITU Recommendation Q.23: Technical features of push-button telephone sets (1988) Google Scholar
  3. 3.
    Barry, J.R., Lee, E.A., Messerschmitt, D.G.: Digital Communication. Springer, Heidelberg (2003)Google Scholar
  4. 4.
    De Vries, A.J.: Stereo FM transmission system. US Patent 3133993 (1964) Google Scholar
  5. 5.
    Bose, A.G., Short, W.R.: A theoretical and experimental study of noise and distortion in the reception of FM signals. IEEE Trans. Broadcasting 47, 164–179 (2001)CrossRefGoogle Scholar
  6. 6.
    Silicon Laboratories, Inc.: Si4702/03 datasheet (2008) Google Scholar
  7. 7.
    Bahl, P., Padmanabhan, V.N.: RADAR: An in-building RF-based user location and tracking system. In: IEEE INFOCOM, vol. 2, pp. 775–784 (2000)Google Scholar
  8. 8.
    R Development Core Team: R: A language and environment for statistical computingGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrei Popleteev
    • 1
  • Venet Osmani
    • 1
  • Oscar Mayora
    • 1
  • Aleksandar Matic
    • 1
  1. 1.Create-NetTrentoItaly

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