Abstract
In order to improve the accuracy of indoor localization, this paper presents a fusion positioning algorithm using the sliding window method based on Wi-Fi and PDR. The algorithm can not only provide the user’s initial position accurately, but also correct the position error of the indoor turning points, so it can correct the cumulative error generated by PDR and improve the positioning accuracy. The experiment results show that the average localization error of the proposed algorithm is lower than Wi-Fi fingerprinting approach and PDR approach. At the same time, the error of turning point has been greatly corrected.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (61471077).
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Zhou, NX., Fan, XY., Xia, PC., Zhou, F. (2019). A Sliding Window Fusion Location Algorithm Based on WI-FI/PDR. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_316
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DOI: https://doi.org/10.1007/978-981-10-6571-2_316
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