The feature extraction and matching of time-varying fast fading channel
Yankui Zhang, Daming Wang, Bin Ba
Available Online November 2015.
- 10.2991/icmmita-15.2015.92How to use a DOI?
- fingerprint database; feature extraction;Scene Recognition OFDM
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.
- © 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/).
Cite this article
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 -