We introduce different techniques, to adapt the update rate of a Real Time Locating System (RTLS) using Angle of Arrival (AoA) and Round Trip Time (RTT). A dedicated algorithm is implemented to detect the speed of walking of a person by exploiting data on the steps from a 3-dimensional accelerometer. Its implementation is described and the results of two experiments are discussed demonstrating the gain of the adaptation in terms of an increased channel capacity
Visually impaired people need to renounce several social activities what the sighted people can enjoy. In this paper we refer to the project BLINDTRACK which has the major goal to develop a guidance system. A real-time locating system (RTLS) based on radio signals guides the runners with the highest level of safety by estimating the angle of arrival (AoA) and round-trip time (RTT). First results show the position accuracy of the proposed locating system with real-world data. BLINDTRACK provides an enormous freedom for the visually impaired runners in compare to the other solutions: Sighted and blind runners will have the opportunity to perform sport together without another person's assistance.
Indoor localization with the accuracy being better than few meters may be a quite challenging task when the system costs are an issue. This paper presents a frequency modulation continuous wave (FMCW) technology-based indoor localization system that has been built in the EU FP7 Confidence project. The main objective of the Confidence project is the development and integration of innovative technologies to build a care system for the detection of abnormal events, e.g. falls or unexpected behaviors that may be related to health problems of elderly people. In this paper, details on the hardware, firmware, and software parts of the developed prototype are provided. The localization algorithm based on the Kalman filter with the Gaussian averaging is presented. The localization performance is evaluated in the laboratory setting. Our first results indicate that in the case of localization in two dimensions the mean absolute position error is about 1 meter
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