An Innovative Weighted KNN Indoor Location Technology

Author:

Huang Lu,Gan Xingli,Du Dan,Wang Boyuan,Li Shuang

Publisher

Springer International Publishing

Reference20 articles.

1. Tancharoen, D., Aizawa, K.: Wearable video retrieval and navigation system using GPS data. In: IEEE International Conference on Computer and Information Technology (2010)

2. Záruba, G.V., Huber, M., Kamangar, F.A., Chlamtac, I.: Monte Carlo sampling based in-home location tracking with minimal. In: IEEE Communications Society Globcom, vol. 6, pp. 3624–3629, December 2004

3. Analog Devices: Using the ADXL202 in Pedometer and Personal Navigation Applications. Application Note AN602, Analog Devices

4. Bahl, P., Padmanabhan, V.N.: RADAR: an in-building RF-based user location and tracking system. Microsoft Research (2000)

5. Ma, J., Li, X., Tao, X., Lu, J.: Cluster filtered KNN: a WLAN-based indoor positioning scheme. In: International Symposium on a World of Wireless, Mobile and Multimedia Networks, pp. 1–8, June 2008

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1. An Improved Indoor Location Algorithm Based on Backpropagation Neural Network;Arabian Journal for Science and Engineering;2022-01-03

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