Location Based on Passive RFID by Using Least Squares SVM
In this paper, two location algorithms are mentioned. One is LANDMARC, which has a good performance of anti-interference, but it is an approximate estimate and cannot get an accurate result. It heavily depends on the empirical formula and the layout of reference tags. The other algorithm proposed in this paper is the location algorithm based on least squares SVM. It uses the least squares SVM to get the mapping of RSSI to distance, and then gets the position results by using least-squares method. According to the simulation, it has a better performance comparing to LANDMRC.
KeywordsPassive tag Location algorithm Received Signal Strength Indicator Least Squares Support Vector Machine
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