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Sequential learning for fingerprint based indoor localization
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DOI：10.1016/j.aeue.2016.10.023.png)
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In this paper, we introduce a novel approach for improving performance of fingerprinting based indoor localization. Our proposal is a two-step procedure in which severe variation in the received signal strength is minimized during the first step via convex optimization, and distance metric learning is then used to estimate a more accurate location. Numerical results show that our proposal outperforms existing techniques in terms of accuracy and reliability. (C) 2016 Elsevier GmbH. All rights reserved.
Keyword:
Indoor localization
Convex optimization
Fingerprinting
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被引数:
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