ReMAPP: reverse multilateration based access point positioning using multivariate regression for indoor localization in smart buildings
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-023-01021-5.pdf
Reference47 articles.
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2. Zhao, Y., Xu, J., Wu, J., Hao, J., & Qian, H. (2020). Enhancing camera-based multimodal indoor localization with device-free movement measurement using WiFi. IEEE Internet of Things Journal, 7(2), 1024–1038. https://doi.org/10.1109/JIOT.2019.2948605
3. Ding, H., Zheng, Z., & Zhang, Y. (2016). AP weighted multiple matching nearest neighbors approach for fingerprint-based indoor localization. In 2016 Fourth international conference on ubiquitous positioning, indoor navigation and location based services (UPINLBS) (pp. 218–222). https://doi.org/10.1109/UPINLBS.2016.7809974
4. Pichaimani, V., & Varma, M. (2021). Positioning of WiFi devices for indoor floor planning using principal featured Kohonen deep structure. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-020-02326-y
5. Wen, K., Seow, C. K., & Tan, S. Y. (2020). An indoor localization and tracking system using successive weighted RSS projection. IEEE Antennas and Wireless Propagation Letters, 19(9), 1620–1624. https://doi.org/10.1109/LAWP.2020.3011993
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