2023
DOI: 10.3390/rs15153706
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GM(1,1)-Based Weighted K-Nearest Neighbor Algorithm for Indoor Localization

Abstract: Along with the IoT technology, the importance of indoor positioning is increasing, but the accuracy of the traditional fingerprint positioning algorithm is negatively affected by the complex indoor environment. This issue of low indoor spatial geolocation localization accuracy when the signal is collected away from the present stage occurs due to the signal instability of the iBeacon in the traditional fingerprint localization algorithm, which generates a variety of factors such as object blocking and reflecti… Show more

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