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

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.