EURASIP Journal on Applied Signal Processing
Volume 2006 (2006), Article ID 68154, 17 pages
doi:10.1155/ASP/2006/68154

A New Location Estimation System for Wireless Networks Based on Linear Discriminant Functions and Hidden Markov Models

Galo Nuño-Barrau1 and José M. Páez-Borrallo2

1Fundación Rafael Escolá, Universidad Politécnica de Madrid, 28040, Spain
2Centro de Domótica Integral, Universidad Politécnica de Madrid, 28040, Spain

Received 26 May 2005; Revised 14 November 2005; Accepted 8 December 2005

Copyright © 2006 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Location estimation is a recent interesting research area that 0exploits the possibilities of modern communication technology. In this paper, we present a new location system for wireless networks that is especially suitable for indoor terminal-based architectures, as it improves both the speed and the memory requirements. The algorithm is based on the application of linear discriminant functions and Markovian models and its performance has been compared with other systems presented in the literature. Simulation results show a very good performance in reducing the computing time and memory space and displaying an adequate behavior under conditions of few a priori calibration points per position.