No abstract

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

<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt; layout-grid-mode: char;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">The following paper describes and discusses the suitability of the particle swarm optimization(PSO), of the simulated annealing algorithm (SA) and of the genetic algorithm (GA) for the employment with blind adaptation of the directional characteristic of array antennas. By means of extensive simulations, it was confirmed that the suggested PSO and SA and the improved GA are able to follow dynamic changes in the environment. Based on these results a concept is discussed for a high-parallel optimizing procedure as distributed logic in Application-Specific Integrated Circuits (ASICs) or Field Programmable Gate Arrays (FPGAs). Thus an online procedure is available for time-critical applications of the adaptive beam forming.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p>