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- W2370648533 abstract "In order to meet the requirement of high precise indoor location and overcome the difficulty of the dynamic characteristics of the Bluetooth RSSI,this paper proposed a location method based on kernel ridge regression( KRR) . It was adaptive and calibration-free,which made use of the information of RSSI from Bluetooth beacons and each beacon’s physical coordinates,and learned the regression model between them. Meanwhile,it could dynamically update the model parameters. Experimental results show that the method is robust and adaptive to the RSSI dynamic changes,and the average location error is measured to be 1. 25 m,which achieves higher location precision than the signal-distance map( SDM) method. Moreover,the experiment shows that the efficient filter method can further improve the precision." @default.
- W2370648533 created "2016-06-24" @default.
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- W2370648533 date "2010-01-01" @default.
- W2370648533 modified "2023-09-23" @default.
- W2370648533 title "Adaptive Bluetooth location method based on kernel ridge regression" @default.
- W2370648533 hasPublicationYear "2010" @default.
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