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@article{147565,
        author = {S.Nedunchezhian},
        title = {ACCURATE INDOOR LOCALIZATION BASED ON THE INERTIALNAVIGATION AND THE IBEACON - 3500},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {9},
        pages = {44-47},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147565},
        abstract = {In this paper, Indoor localization is an important primitive that can enable many ubiquitous computing applications. This paper improves the scheme of landmark and inertial navigation to address reliable and accurate indoor localization. We use the iBeacon as the landmark. To optimize the inertial navigation, we integrate exploit the calibration function of the iBeacon for step length and heading estimation. For tackling the challenges of eliminating the difference of mobile devices, we have developed reliable parameter learning algorithm. The results of extensive experiments on multiple devices show that our localization system performed well in terms of accuracy and universality.},
        keywords = {IBeacon, AT89S52, Accelrometer},
        month = {},
        }