Research on RFID Indoor Location Optimization Algorithm Based on Top Tag
RFID indoor positioning technology has many advantages such as strong signal penetration and low cost,but its recognition distance is limited and its positioning accuracy is poor.This paper proposes a RFID identifica-tion method used top tag arrangement and a search algorithm for double fingerprint matching,and conducted corre-sponding experimental validation.The experimental process shows that using the RFID identification range to form a region to divide the experimental space improves the matching accuracy of the K-nearest neighbor series algorithm.Three different algorithms,KNN(K-Nearest Neighbor),WKNN(Weight K-Nearest Neighbor)and BWKNN(Bayes Weight K-Nearest Neighbor),were used in the paper to analyze the localization performance of the same RFID target.The experimental results show that the BWKNN algorithm can effectively improve the localization accuracy of RFID fingerprint algorithm:the average localization accuracy of BWKNN algorithm is 31.24mm,which is 64.55%better than KNN algorithm;and 50.03%better than WKNN algorithm.
Top tagRFIDBayesian probabilistic algorithmLocation fingerprinting
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