Elliptical modification of trilateration method based on linear model of distance vs power ratio for RFID tags spatial localization
Keywords:RFID, spatial localization, positioning, elliptical trilateration
Introduction. Radio-frequency identification (RFID) systems can be applied for a 2D spatial localization of objects in indoor spaces. For implementing the known localization method of trilateration one needs to build a model of ratio of distance between antenna and RFID tag versus power level of tag response signal. To maximize the accuracy of the model, one needs to collect measurement data from RFID tags placed at known positions. Due to the labor intensity of this process we aim to develop an alternative modification of elliptical trilateration method resulting in elimination of the preliminary data collecting stage. Theory part. We propose to use a linear model of distance vs power ratio for localization of passive RFID tags with small read ranges. Additionally, our model takes into account the possible ellipticity of position figures which happens because of antennas directivity. Also we propose some heuristics for solving the estimates ambiguity problem which arises when response signals from RFID tags are received by one or two antennas. Experimental part. We carried out the experimental analysis of the proposed trilateration variant using the previously developed RFID system in the 5 m ´ 5 m localization field. During the experiment, we compared our variant with a classical trilateration which was based on the polynomial model of distance vs power ratio formed by analyzing preliminarily gathered measurement data from RFID tags. The comparison indicated that our variant had a bigger by 1.6 cm mean localization error. Furthermore, taking into account ellipticity of position figures resulted in decrease of localization error for 18 of the 24 analyzed cases. Conclusions. It was determined that the proposed trilateration modification produced a slightly bigger mean localization error compared to the classical variant of trilateration. However, our approach allows one to eliminate the preliminary labor-intensive stage of collecting measurement data from RFID tags.
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