Bayesian Filtering for Localization of Mobile Terminals
نویسندگان
چکیده
A discrete Bayesian filter (DBF) was developed to work as a pattern matching technique with database correlation for mobile location. The database is constructed using a 3D deterministic radio wave propagation prediction model. Three methods to yield final location estimates are presented and compared according to their accuracy. We carried out field measurements in a GSM network deployed in a suburban environment, which is very common and widespread in Europe. We show that more work has to be done in order to make positioning accuracy as good as in urban and dense urban areas.
منابع مشابه
Nonparametric Bayesian Filtering for Location Estimation, Position Tracking, and Global Localization of Mobile Terminals in Outdoor Wireless Environments
The mobile terminal positioning problem is categorized into three different types according to the availability of (1) initial accurate location information and (2) motion measurement data. Location estimation refers to the mobile positioning problem when both the initial location and motion measurement data are not available. If both are available, the positioning problem is referred to as pos...
متن کاملA Rssi Based Localization Algorithm for WSN Using a Mobile Anchor Node
Wireless sensor networks attracting a great deal of research interest. Accurate localization of sensor nodes is a strong requirement in a wide area of applications. In recent years, several techniques have been proposed for localization in wireless sensor networks. In this paper we present a localization scheme with using only one mobile anchor station and received signal strength indicator tec...
متن کاملBayesian Algorithms for Mobile Terminal Positioning in Outdoor Wireless Environments
The ability to reliably and cheaply localize mobile terminals will allow users to understand and utilize the what, where and when of the surrounding physical world. Therefore, mobile terminal location information will open novel application opportunities in many areas. The mobile terminal positioning problem is categorized into three different types according to the availability of (1) initial ...
متن کاملBayesian Filters in Practice Low-cost mobile robot position tracking using bearing only beacons
Bayesian filters represent the most commonly used tool for state estimation not only in mobile robotics. The filters are widely used in sensor data fusion and robot localization problems. The paper describes in detail our experiences with the filters in robot localization using bearing only beacons. Bearing only beacons are easy to implement, therefore can be realized by the students and relati...
متن کاملMonte Carlo Localization for Mobile Robots
To navigate reliably in indoor environments, a mobile robot must know where it is. Thus, reliable position estimation is a key problem in mobile robotics. We believe that probabilistic approaches are among the most promising candidates to providing a comprehensive and real-time solution to the robot localization problem. However, current methods still face considerable hurdles. In particular, t...
متن کامل