• DocumentCode
    2808795
  • Title

    Parameter estimation of multiple pulse trains for illumination sensing

  • Author

    Yang, Hongming ; Schenk, Tim C W ; Bergmans, Jan W M ; Pandharipande, Ashish

  • Author_Institution
    Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3122
  • Lastpage
    3125
  • Abstract
    We consider illumination sensing in a light emitting diode (LED) lighting system based on frequency division multiplexing (FDM). In the FDM scheme, LEDs render periodical illumination pulses at different frequencies with prescribed duty cycles. The purpose of illumination sensing is to identify the illumination contributions of different LEDs at a target location, within a limited response time. With the use of a photosensor at the target location, the problem of interest is to estimate the amplitude of the sensor signal component due to each LED. In this paper, we propose a successive estimation approach exploiting higher order harmonics of the sensor signal. We show that a larger number of LEDs can be supported using the proposed approach, as compared to our previous approach using only the fundamental frequency component, at the same estimation error.
  • Keywords
    frequency division multiplexing; light emitting diodes; lighting; optical sensors; frequency division multiplexing; fundamental frequency component; illumination sensing; light emitting diode lighting system; multiple pulse trains; parameter estimation; Frequency division multiplexing; Frequency estimation; LED lamps; Light emitting diodes; Lighting; Optical attenuators; Optical sensors; Optical signal processing; Parameter estimation; Pulse width modulation; Illumination sensing; LED lighting systems; frequency division multiplexing; successive estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496091
  • Filename
    5496091