LS-SVM/Federated EKF Based on the Distributed INS/UWB Integrated 2D Localization-Reference-Cited by-同舟云学术

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LS-SVM/Federated EKF Based on the Distributed INS/UWB Integrated 2D Localization

Published:2021 Issue: Volume: Page:502-509
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Li Fukun^ORCID,Bi Shuhui^ORCID,Wang Meng,Ma Liyao^ORCID,Zhang Bo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-82562-1_49

Reference13 articles.

1. Sung, K., Lee, D., Kim, H.: Indoor pedestrian localization using iBeacon and improved Kalman filter. Sensors 18(6), 1722 (2018)

2. Xu, Y., Tian, G., Chen, X.: Performance enhancement for INS/UWB integrated indoor tracking using distributed iterated extended Kalman filter. In: Ubiquitous Positioning Indoor Navigation and Location-Based Services, Wuhan, China (2018)

3. Xu, H., Ding, Y., et al.: An RFID indoor positioning algorithm based on Bayesian probability and K-nearest neighbor. Sensors 17(8), 1806 (2017)

4. Shu, Y., Cheng, B., et al.: Indoor localization using pervasive magnetic field and opportunistic WiFi sensing. IEEE J. Sel. Areas Commun. 33(7), 1443–1457 (2015)

5. Yu, K., Wen, K., et al.: A novel NLOS mitigation algorithm for UWB localization in harsh indoor environments. IEEE Trans. Veh. Technol. 68(1), 686–699 (2019)

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