Indoor Localization Method Based on Fingerprint Expansion and Deep Learning-Reference-Cited by-同舟云学术

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Indoor Localization Method Based on Fingerprint Expansion and Deep Learning

Published:2023-10-20 Issue: Volume: Page:675-679
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
language:
Short-container-title:

Author:

He Yun¹^ORCID,Zhu Licai¹^ORCID,Li Yong²^ORCID,Yang Hao³^ORCID

Affiliation:

1. School of Computer Science and Technology, Nanjing Tech University, China

2. School of Information Engineering, Yancheng Teachers University, China

3. Joint Technology Transfer Center of Yancheng Ploytechnic College, Yancheng Ploytechnic College, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650400.3650512

Reference15 articles.

1. Mulla A, Ba Viskar J, Ba Viskar A, 2015, GPS assisted Standard Positioning Service for navigation and tracking: Review &implementation[C]// International Conference on Pervasive Computing. IEEE

2. Xiaoming L Xinglong T Changsheng Z. 2019. PSO-LSSVR Assisted GPS/INS Positioning in Occlusion Region[J]. Sensors 19(23).

3. The Microsoft Indoor Localization Competition: Experiences and Lessons Learned

4. Rempel P, Borisov A, Siemens E, 2017. Local System of Positioning Using a WiFi Network[J]. Matec Web of Conferences, 2018, 155:01014.

5. The Horus WLAN location determination system

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