Mobile station localization based on hybrid SADOA/AOA in cellular networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-023-01097-z.pdf
Reference47 articles.
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2. Yassin, M., & Rachid, E. (2015). A survey of positioning techniques and location based services in wireless networks. In 2015 IEEE international conference on signal processing, informatics, communication and energy systems (SPICES) (pp. 1–5).
3. Wu, L., Chen, C. H., & Zhang, Q. (2019). A mobile positioning method based on deep learning techniques. Electronics, 8(1), 59.
4. Xiong, H., Peng, M., Zhu, K., Yang, Y., Du, Z., Xu, H., & Gong, S. (2018). Efficient bias reduction approach of time-of-flight-based wireless localisation networks in NLOS states. IET Radar, Sonar and Navigation, 12(11), 1353–1360.
5. Zhang, Y., Deng, Z., & Gao, Y. (2019). Angle of arrival passive location algorithm based on proximal policy optimization. Electronics, 8(12), 1558.
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