Vehicle positioning by database comparison using the Box-Cox metric and Kalman filtering

Author

Nypan, Trond ; Gade, Kenneth ; Hallingstad, Oddvar

Author_Institution

Center for Tech., UniK, Kjeller, Norway

Volume

4

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1650

Abstract

The most accurate mobile station (MS) positioning of today is done using techniques based on time-of-arrival measurements like network assisted GPS and OTDOA. We present a system for MS positioning based on database comparison of measured location sensitive parameters. We have utilised the estimated channel impulse response (CIR) for comparison. The Box-Cox metric and Kalman filtering is used to yield position estimates along measured streets in a city. System tests are performed using about 30 km of channel sounder measurement data. The positioning system is generic and may thus be developed to include more location sensitive measurement data at a later stage. The results indicate satisfactory positioning in most cases.

Keywords

Global Positioning System; Kalman filters; filtering theory; land mobile radio; radio direction-finding; telecommunication channels; transient response; Box-Cox metric; Kalman filtering; MS positioning; OTDOA; channel impulse response; channel sounder measurement data; location sensitive measurement data; location sensitive parameters; measured location sensitive parameters; mobile station positioning; network assisted GPS; position estimates; positioning system; system tests; time-of-arrival measurements; vehicle positioning by database comparison; Acoustic testing; Cities and towns; Databases; Filtering; Global Positioning System; Kalman filters; Position measurement; System testing; Vehicles; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2002. VTC Spring 2002. IEEE 55th

Print_ISBN

0-7803-7484-3

Type

conf

DOI

10.1109/VTC.2002.1002900

Filename

1002900