A study about LS-SVM's application in RFID-based indoor positioning

摘要

This paper studies the indoor positioning technology based on RFID technology and selects Time Difference of Arrival (TDOA) as the basic location algorithm. The paper introduces the theory of Least Squares Support Vector Machine (LS-SVM) to optimize the TDOA algorithm since TDOA algorithm does not have the ability of learning and cannot change as environment changes. Finally, with the help of the nano Track development kit, the paper has completed indoor positioning system design and experiment. Experiments show that the optimized algorithm can achieve higher precision.