Indoor Positioning Based on Enhanced 5G Fingerprint Positioning Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9968-0_143
Reference20 articles.
1. Aravanis, A.I., Muñoz, O., Pascual-Iserte, A., et al.: On the coordination of base stations in ultra dense cellular networks. In: 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), pp. 1–6. IEEE (2019)
2. Xiaoming, L., Xinglong, T., Changsheng, Z.: PSO-LSSVR assisted GPS/INS positioning in occlusion region. Sensors 19(23), 5256 (2019)
3. Liu, H., Darabi, H., Banerjee, P., et al.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybern. Part C (App. Rev.) 37(6), 1067–1080 (2007)
4. Yang, C., Shao, H.R.: WiFi-based indoor positioning. IEEE Commun. Mag. 53(3), 150–157 (2015)
5. Aranda, F.J., Parralejo, F., Álvarez, F.J., et al.: Performance analysis of fingerprinting indoor positioning methods with BLE. Expert Syst. Appl. 202, 117095 (2022)
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