Computer Science ›› 2015, Vol. 42 ›› Issue (11): 170-173.doi: 10.11896/j.issn.1002-137X.2015.11.035

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Research on Improved Indoor Mobile Robot Fuzzy Position Fingerprint Localization

MAO Qin, ZENG Bi and YE Lin-feng   

  • Online:2018-11-14 Published:2018-11-14

Abstract: On the basis of further research on existing indoor robot localization algorithm,this paper introduced an improved indoor robot fuzzy position fingerprint localization method,named IRF.This method firstly uses the spatial correlation of sample nodes to establish the fingerprint database by focus Lagrange interpolation algorithm.Then it transforms the problem of solving high order coordinates into the problem of space membership degree.The fuzzy neartude of unknown nodes and sample nodes can be calculated,which can determine the coordinates of unknown points.Kalman filtering algorithm is used to fix the error of the method.The result of experiment proves that IRF has higher performance in reducing the error,improving stability and efficiency than other traditional algorithms.

Key words: RSSI,Fingerprint,Focus Lagrange interpolation algorithm,Fuzzy neartude,Kalman filtering algorithm

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