A robust location estimator architecture with biased Kalman filtering of TOA data for wireless systems

N.J. Thomas, D.G.M. Cruickshank, David Laurenson

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

Abstract

This paper presents a robust location estimator architecture for a time difference of arrival (TDOA) system, which mitigates non-line of sight (NLOS) and multipath errors, using biased Kalman filtering of time of arrival (TOA) estimates. With additional Kalman filtering of location estimates a high degree of location accuracy is demonstrated. Simulations of an idle period downlink (IPDL) UMTS system give an accuracy to within 50 m at the 67th percentile for most scenarios
Original languageEnglish
Title of host publicationIEEE Sixth International Symposium on Spread Spectrum Techniques and Applications
Pages296-300 vol.1
Volume1
DOIs
Publication statusPublished - 1 Sep 2000

Keywords

  • Kalman filters, cellular radio, digital simulation, direction-of-arrival estimation, filtering theory, multipath channels, radio links, radionavigationNLOS errors, TDOA system, TOA data, UMTS system, biased Kalman filtering, cellular radio, idle period downlink, location accuracy, multipath errors, nonline of sight errors, robust location estimator architecture, simulations, time difference of arrival, time of arrival estimates, wireless systems

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