Indoor Positioning Using Adaptive KNN Algorithm Based Fingerprint Technique-Reference-Cited by-同舟云学术

Indoor Positioning Using Adaptive KNN Algorithm Based Fingerprint Technique

Published:2018-12-30 Issue: Volume: Page:13-21
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Mosleh Mahmood F.,Abd-Alhameed Raed A.,Qasim Osama A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05195-2_2

Reference8 articles.

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2. Per, K.E.: The global positioning system: signals, measurements, and performance. Int. J. Wireless Inf. Networks 1, 83–105 (1994)

3. Dmitry, N.: On indoor positioning. Int. J. Open Inf. Technol. 2307–8162 vol, 3 (2015)

4. Ashish, G., Alper, Y..: Indoor positioning using visual and inertial sensors. In: Proceedings of the IEEE Sensors, Orlando, FL, USA, pp. 1–3 (2016)

5. Chouchang, Y., Huai-Rong, S.: Wi-Fi-based indoor positioning. IEEE Commun. Mag. (2015)

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