High Performance Indoor Location Wi-Fi Fingerprinting using Invariant Received Signal Strength
Author:
Affiliation:
1. College of Information and Communication Engineering, Sungkyunkwan University, Republic of Korea, +8231-299-6465
2. Intelligent Systems Research Institute, Sungkyunkwan University, Republic of Korea, +8231-299-6470
Funder
National Research Foundation of Korea
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2857546.2857589
Reference14 articles.
1. Analysis of WLAN’s received signal strength indication for indoor location fingerprinting
2. An evaluation of indoor location determination technologies
3. Husen M. N. and Lee S. 2014. Indoor human localization with orientation using Wi-Fi fingerprinting. In Proceeding of 8th ACM IMCOM (ICUIMC). (Siem Reap Cambodia January 9--11 2014). DOI=10.1145/2557977.2557980 10.1145/2557977.2557980 Husen M. N. and Lee S. 2014. Indoor human localization with orientation using Wi-Fi fingerprinting. In Proceeding of 8th ACM IMCOM (ICUIMC). (Siem Reap Cambodia January 9--11 2014). DOI=10.1145/2557977.2557980 10.1145/2557977.2557980
4. Novel calibration algorithm for received signal strength based indoor real-time locating systems
5. Eisa S. Peixoto J. Meneses F. and Moreira A. 2013. Removing useless APs and fingerprints from WiFi indoor positioning radio maps. In Proceeding of 4th Indoor Positioning and Indoor Navigation (IPIN). (Belfort-Montbeliard France October 28--31 2013). DOI= 10.1109/IPIN.2013.6817919 Eisa S. Peixoto J. Meneses F. and Moreira A. 2013. Removing useless APs and fingerprints from WiFi indoor positioning radio maps. In Proceeding of 4th Indoor Positioning and Indoor Navigation (IPIN). (Belfort-Montbeliard France October 28--31 2013). DOI= 10.1109/IPIN.2013.6817919
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