Mobile Location using Database Correlation with Least-Squares and Bayes Filtering

Inhalt:
Database correlation methods for mobile location could be enhanced by efficient preprocessing of available information. We used least-squares filtering to study the relationship between the predicted signal strength and distance to serving base station (BS) in order to provide more knowledge during the online location process. A Bayes filter has been built to achieve robust online weighting of location candidates. The final location estimation is done using one of three different methods. The positioning accuracy of the whole system using these estimation methods are tested in a suburban area, which is a very common environment in European cities. In such environments, the average cell radius is much larger than of urban cells. This requires the relaxing of FCC location accuracy requirements for suburban cells or the need of more work to meet these accuracies.