An unified Kalman tracking technique for wireless location systems

Po Hsuan Tseng*, Chao Lin Chen, Kai-Ten Feng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Location estimation and tracking for the mobile stations have attracted a significant amount of attention in recent years. In order to offer sufficient precision for wireless location tracking, different techniques have been studied and combined, e.g. the Least Square methods for location estimation associated with the Kalman filters for location tracking. In this paper, an Unified Kalman Tracking (UKT) technique is proposed to provide an integrated algorithm for precise location estimation and tracking. Based on the Time-Of-Arrival (TOA) measurements, a new variable is incorporated as an additional state within the Kalman filtering formulation in order to consider the nonlinear behavior for wireless location estimate. Numerical results illustrate that the proposed UKT algorithm can achieve enhanced accuracy for mobile location tracking, comparing with other existing schemes.

Original languageEnglish
Title of host publication2007 2nd International Symposium on Wireless Pervasive Computing
Pages350-354
Number of pages5
DOIs
StatePublished - 28 Aug 2007
Event2007 2nd International Symposium on Wireless Pervasive Computing - San Juan, PR, United States
Duration: 5 Feb 20077 Feb 2007

Publication series

Name2007 2nd International Symposium on Wireless Pervasive Computing

Conference

Conference2007 2nd International Symposium on Wireless Pervasive Computing
CountryUnited States
CitySan Juan, PR
Period5/02/077/02/07

Keywords

  • Kalman filter
  • Location estimation
  • Time-Of-Arrival (TOA)
  • Tracking

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