Wi-Fi fingerprinting based on collaborative confidence level training
Wi-Fi fingerprinting has been a popular indoor positioning technique with the advantage that infrastructures are readily available in most urban areas. However wireless signals are prone to fluctuation and noise, introducing errors in the final positioning result. This paper proposes a new fingerpri...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/33124/ |