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

Author

Thomas, N.J. ; Kshank, D. G M Cruic ; Laurenson, D.I.

Author_Institution

Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK

Volume

1

fYear

2000

fDate

36770

Firstpage

296

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

Keywords

Kalman filters; cellular radio; digital simulation; direction-of-arrival estimation; filtering theory; multipath channels; radio links; radionavigation; NLOS 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; 3G mobile communication; Covariance matrix; Current measurement; Downlink; Filtering; Gain measurement; Kalman filters; Noise measurement; Robustness; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Spread Spectrum Techniques and Applications, 2000 IEEE Sixth International Symposium on

Conference_Location

Parsippany, NJ

Print_ISBN

0-7803-6560-7

Type

conf

DOI

10.1109/ISSSTA.2000.878132

Filename

878132