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《Journal of Hangzhou Dianzi University(Natural Sciences)》 2018-05
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Error Correction Method of Indoor Location Fingerprint Based on GM(1,1) Model

ZHANG Juanjuan;CAI Wenyu;LIU Yuanyuan;School of Electronic Information,Hangzhou Dianzi University;  
The error of indoor Bluetooth fingerprint database caused by environmental noise interference has a direct impact on the accuracy of indoor positioning.In this paper,the GM(1,1)model of indoor fingerprint database is used to modify the error of position fingerprint database,the matching positioning algorithm provides better quality fingerprint database data.The GM(1,1)models residual error correction method is applied to the K nearest neighbors algorithm,the weighted K nearest neighbors algorithm and Bayes localization algorithm respectively,the Kalman filter denoising method as above.The simulation results show that the GM(1,1)model's residual error correction method obtains higher positioning accuracy.
【Fund】: 国家自然科学基金资助项目(61801431 61871163);; 浙江省自然科学基金资助项目(LY18F030006)
【CateGory Index】: TN925
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