FMA-RRSS: Fingerprint Matching Algorithm Based on Relative Received Signal Strength in Indoor Wi-Fi Positioning

Guangyu Dong, Kai Lin, Keqiu Li, Huayong Luo, Xiangwen Zhang. FMA-RRSS: Fingerprint Matching Algorithm Based on Relative Received Signal Strength in Indoor Wi-Fi Positioning. In Xingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen, editors, 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Chengdu, China, December 19-21, 2014. pages 1071-1077, IEEE, 2014. [doi]

@inproceedings{DongLLLZ14,
  title = {FMA-RRSS: Fingerprint Matching Algorithm Based on Relative Received Signal Strength in Indoor Wi-Fi Positioning},
  author = {Guangyu Dong and Kai Lin and Keqiu Li and Huayong Luo and Xiangwen Zhang},
  year = {2014},
  doi = {10.1109/CSE.2014.212},
  url = {http://dx.doi.org/10.1109/CSE.2014.212},
  researchr = {https://researchr.org/publication/DongLLLZ14},
  cites = {0},
  citedby = {0},
  pages = {1071-1077},
  booktitle = {17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Chengdu, China, December 19-21, 2014},
  editor = {Xingang Liu and Didier El Baz and Ching-Hsien Hsu and Kai Kang and Weifeng Chen},
  publisher = {IEEE},
  isbn = {978-1-4799-7981-3},
}