Radio Propagation for Modern Wireless Systems
Radio Propagation for Modern Wireless Systems
A Statistical Modeling Approach to Location Estimation
IEEE Transactions on Mobile Computing
Locating Mobile Stations with Statistical Directional Propagation Model
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Real-Time Mobility Tracking Algorithms for Cellular Networks Based on Kalman Filtering
IEEE Transactions on Mobile Computing
Location-based Services: Fundamentals and Operation
Location-based Services: Fundamentals and Operation
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Overview of radiolocation in CDMA cellular systems
IEEE Communications Magazine
Standardization of mobile phone positioning for 3G systems
IEEE Communications Magazine
Implement the RFID Position Based System of Automatic Tablets Packaging Machine for Patient Safety
Journal of Medical Systems
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Statistical Terminal Assisted Mobile Positioning (STAMP) is a methodology that improves the accuracy of existing positioning techniques by exploiting measurements collected at the terminal side. STAMP is setting a unified positioning framework, in which different types of raw network related measurements are employed by multiple positioning techniques in order to derive coarse position estimates. Subsequently, statistical processing is performed to further increase accuracy. STAMP is complementary to satellite positioning systems, while the proposed architecture is highly applicable to User Plane location architectures. Due to its open and modular architecture, new positioning algorithms and post processing techniques can be added in the localization chain, thus supporting effectively a wide variety of Location Based Services (LBS). The implementation of STAMP in a prototype focuses particularly on Quality of Position issues and compatibility with currently available and up-coming standards and communication protocols. Preliminary results using actual network measurements, in both Greece and Finland, reveal the efficiency of STAMP.