Performance evaluation of indoor location finding system with US reflections removal algorithm

Abstract

A Ubiquitous Computing should be aware of the knowledge about its environments in order for the system to adapt to their current situations accordingly. This contort-awareness is especially important for mobile computing which the situations are changed dynamically, so caused to be available for rich contexts. The location finding system, whose behavior is determined by the positions of objects in the surroundings, represents a practical subset of the context-aware computing system. In this thesis, the existing indoor location finding system is described, which uses a ultrasonic sensor and may be deployed in indoor environments such as offices and homes. Furthermore, the problem of existing system, which is the occurrence of wrong distance measurement due to the reflected ultrasonic waves, is introduced and analyzed, and also the new algorithm for removal of the reflected ultrasonic data is implemented as a solution. And then, the performance evaluation methodology of this new algorithm and the results of evaluation are described and analyzed. Finally, the thesis introduces the applications and the problems to overcome for practical location-aware application such as indoor navigation system and resource-tracking system.