A Connected-Components-Based Multi-scale Wavelet Approach for Wideband Spectrum Sensing

DOI

10.2991/icmmita-15.2015.281How to use a DOI?

Keywords

Connected Component; Wideband Spectrum Sensing; Multi-scale Wavelet Transform; Spectrum Segmentation.

Abstract

This paper presents a new method for adaptive spectrum segmentation. In the field of wideband spectrum sensing, spectrum segmentation is regarded as the first procedure to detect sub-band signals. Wavelet Transform (WT) is sensitive to the rising and falling edges of signals in spectrum. Multi-scale WT can detect multi-width edges. The proposed method, based on the evaluation of the multi-scale WT, is designed for spectrum segmentation in multi-scale resolution FFT spectrum. Simulation results demonstrate that our method is validated on real satellite signals, and the results show good accuracy and flexibility of the sub-band signal detection.

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  - Chuandang Liu
AU  - Luxi Lu
AU  - Guiliang Wang
PY  - 2015/11
DA  - 2015/11
TI  - A Connected-Components-Based Multi-scale Wavelet Approach for Wideband Spectrum Sensing
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1522
EP  - 1527
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.281
DO  - 10.2991/icmmita-15.2015.281
ID  - Liu2015/11
ER  -