The feature extraction and matching of time-varying fast fading channel

DOI

10.2991/icmmita-15.2015.92How to use a DOI?

Keywords

fingerprint database; feature extraction;Scene Recognition OFDM

Abstract

For the issues of feature extraction and scene recognition in the complex wireless transmission channel, this paper presents a feature recognition based on a "fingerprint library" algorithm. The algorithm is fully tap the different scenarios, differentiated features within the different regions of the radio channel, for different channel parameters were extracted using the improved KNN algorithm to classify the channel scene. Simulation analysis and experimental data show that the algorithm solves the channel characteristics problems of wireless channel parameter extraction and channel scene recognition.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yankui Zhang
AU  - Daming Wang
AU  - Bin Ba
PY  - 2015/11
DA  - 2015/11
TI  - The feature extraction and matching of time-varying fast fading channel
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 468
EP  - 474
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.92
DO  - 10.2991/icmmita-15.2015.92
ID  - Zhang2015/11
ER  -