Application of linear discriminant functions to location estimation

Location estimation is a recent interesting research area that exploits the possibilities of modern communication technology. In this paper we present a new location algorithm for wireless networks that is especially suitable for user-based systems, as it improves both the speed and the memory requirements. The algorithm is based on the application of linear discriminant functions to location estimation and its performance has been compared with previous systems presented in the literature. Results show a very good performance, reducing the computing time and memory space and displaying an adequate behavior under conditions of few calibration points per location