Gaussian mixture sigma-point particle filter for optical indoor navigation system

Weizhi Zhang, Wenjun Gu, Chunyi Chen, M. I S Chowdhury, Mohsen Kavehrad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the fast growing and popularization of smart computing devices, there is a rise in demand for accurate and reliable indoor positioning. Recently, systems using visible light communications (VLC) technology have been considered as candidates for indoor positioning applications. A number of researchers have reported that VLC-based positioning systems could achieve position estimation accuracy in the order of centimeter. This paper proposes an Indoors navigation environment, based on visible light communications (VLC) technology. Light-emitting-diodes (LEDs), which are essentially semiconductor devices, can be easily modulated and used as transmitters within the proposed system. Positioning is realized by collecting received-signal-strength (RSS) information on the receiver side, following which least square estimation is performed to obtain the receiver position. To enable tracking of user's trajectory and reduce the effect of wild values in raw measurements, different filters are employed. In this paper, by computer simulations we have shown that Gaussian mixture Sigma-point particle filter (GM-SPPF) outperforms other filters such as basic Kalman filter and sequential importance-resampling particle filter (SIR-PF), at a reasonable computational cost.

Original languageEnglish (US)
Title of host publicationBroadband Access Communication Technologies VIII
Volume9007
DOIs
StatePublished - 2014
EventPhotonics West 2014 Conference on Broadband Access Communication Technologies VIII - San Francisco, CA, United States
Duration: Feb 4 2014Feb 6 2014

Other

OtherPhotonics West 2014 Conference on Broadband Access Communication Technologies VIII
CountryUnited States
CitySan Francisco, CA
Period2/4/142/6/14

Fingerprint

Gaussian Mixture
Navigation System
Particle Filter
Navigation systems
navigation
Optical System
positioning
Positioning
optical communication
filters
Receiver
receivers
Filter
Semiconductor devices
Kalman filters
Received Signal Strength
Light emitting diodes
Least Squares Estimation
Semiconductor Devices
Transmitters

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Zhang, W., Gu, W., Chen, C., Chowdhury, M. I. S., & Kavehrad, M. (2014). Gaussian mixture sigma-point particle filter for optical indoor navigation system. In Broadband Access Communication Technologies VIII (Vol. 9007). [90070K] https://doi.org/10.1117/12.2037945
Zhang, Weizhi ; Gu, Wenjun ; Chen, Chunyi ; Chowdhury, M. I S ; Kavehrad, Mohsen. / Gaussian mixture sigma-point particle filter for optical indoor navigation system. Broadband Access Communication Technologies VIII. Vol. 9007 2014.
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Zhang, W, Gu, W, Chen, C, Chowdhury, MIS & Kavehrad, M 2014, Gaussian mixture sigma-point particle filter for optical indoor navigation system. in Broadband Access Communication Technologies VIII. vol. 9007, 90070K, Photonics West 2014 Conference on Broadband Access Communication Technologies VIII, San Francisco, CA, United States, 2/4/14. https://doi.org/10.1117/12.2037945

Gaussian mixture sigma-point particle filter for optical indoor navigation system. / Zhang, Weizhi; Gu, Wenjun; Chen, Chunyi; Chowdhury, M. I S; Kavehrad, Mohsen.

Broadband Access Communication Technologies VIII. Vol. 9007 2014. 90070K.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Zhang W, Gu W, Chen C, Chowdhury MIS, Kavehrad M. Gaussian mixture sigma-point particle filter for optical indoor navigation system. In Broadband Access Communication Technologies VIII. Vol. 9007. 2014. 90070K https://doi.org/10.1117/12.2037945