Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Application of Kalman Filter to Cricket based Indoor localization system

  • Kim, Sung-Ho (College of Engineering, School of Electronics & Information Engineering, Kunsan National University) ;
  • Zhang, Chong-Yi (College of Engineering, School of Electronics & Information Engineering, Kunsan National University)
  • Published : 2008.08.25
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Abstract

Cricket is an excellent indoor location system and it can successfully solve many critical problems such as user privacy, decentralized administration. But in some practical applications, Cricket sometimes didn't provide location with enough accuracy, and was unable to determine when it was giving inaccurate information. For getting high-accuracy tracking performance from location data contaminated with noise, some types of filters are required. Kalman Filter is an efficient recursive filter that estimates the state of a dynamic system from a series of incomplete and noisy measurement. The filter is very powerful in the field of autonomous and assisted navigation. In this paper, we carry out comparative studies to validate the performance of the application of Kalman Filter to Cricket based localization system.

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References

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