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This paper aims to locate a tag position inside the building by using low cost device with minimal location error. The enhancement approach with received signal strength indication (RSSI) technique is proposed to achieve the target. In this paper, after introducing the existing LANDMARC system, we try to construct the relationship between RSSI and distance from reader to tag by experiment. Finally, an enhanced approach to reach higher accuracy of indoor localization is proposed. The proposed enhancement approach utilizes the strategy of putting the tracking tag and its k nearest reference tags in a set, then repeating to calibrate the target coordinate by the error corrections which obtained by members of this set. It is a recursive data processing approach. The calibration will continue until the tracking tag's coordinate tend to be a stable value. Simulation and experimental comparison are also shown here to prove that the accuracy of localization is improved.
Jiang et al. (Wed,) studied this question.