Database Search Algorithm Based on Track Predicting in Fingerprinting Localization
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-67777-4_24
Reference12 articles.
1. Zou, G., Ma, L., Zhang, Z., Mo, Y.: An indoor positioning algorithm using joint information entropy based on WLAN fingerprint. In: Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT), Hefei, pp. 1–6 (2014)
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3. Zhang, W., Hua, X., Yu, K., Qiu, W., Zhang, S.: Domain clustering based WiFi indoor positioning algorithm. In: 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Alcala de Henares, pp. 1–5 (2016)
4. Feng, C., Au, W.S.A., Valaee, S., Tan, Z.: Received-signal-strength-based indoor positioning using compressive sensing. IEEE Trans. Mob. Comput. 11(12), 1983–1993 (2012)
5. Premchaisawatt, S., Ruangchaijatupon, N.: Enhancing indoor positioning based on partitioning cascade machine learning models. In: 2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Nakhon Ratchasima, pp. 1–5 (2014)
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