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Indoor Positioning, Bayesian Methods

  • Living reference work entry
  • First Online:
Encyclopedia of GIS

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Synonyms

Bayesian Estimation; Geolocation; Localization; Location Estimation; Location Tracking; Mobile Robotics

Definition

Indoor positioning, generally speaking, is the technology through which the geospatial location coordinates of a number of mobile or stationary objects are determined in indoor environments. A typical indoor positioning system usually estimates the target object’s location from observation data collected by a set of sensing devices or sensors. When the target object is stationary the location estimation problem is also referred to as localization problem. On the other hand, estimating the location of mobile target objects is known as target tracking.

Bayesian estimation methods are based on the Bayes’ theorem, a well-known result in probability theory, which relates the conditional and marginal probability distributions of random variables. Bayesian approaches are fundamentally different from the classical approaches such as maximum-likelihood estimator and...

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Recommended Reading

  • Ramadurai V, Sichitiu ML (2003) Localization in wireless sensor networks: a probabilistic approach. In: Proceedings of the 2003 international conference on wireless networks (ICWN2003), Las Vegas, Jan 2003, vol 1, pp 275–281

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, University of North Texas, Denton, TX, USA

    Jue Yang & Xinrong Li

Authors
  1. Jue Yang
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  2. Xinrong Li
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Editor information

Editors and Affiliations

  1. Minneapolis, Minnesota, USA

    Shashi Shekhar

  2. Rutgers Business School, Newark, New Jersey, USA

    Hui Xiong

  3. The University of Iowa Tippie College of Business, Iowa City, Iowa, USA

    Xun Zhou

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© 2016 Springer International Publishing Switzerland

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Yang, J., Li, X. (2016). Indoor Positioning, Bayesian Methods. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_627-2

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_627-2

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  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-23519-6

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