A Novel Cognitive Frequency Hopping Detection Algorithm

DOI

10.2991/cnci-19.2019.21How to use a DOI?

Keywords

Cognitive Frequency Hopping, Time-Domain Correlation, Power Spectrum Cancellation, Spectrum Hole.

Abstract

Cognitive frequency hopping technology is to apply cognitive radio to frequency hopping communication. The spectrum hole in cognitive frequency hopping spectrum can be detected effectively to avoid the collision of frequency points and improve the spectral efficiency to update the frequency hopping points. The time domain correlation algorithm in spectrum detection technology for cognitive radio has some defects in anti-interference, universality and real time performance due to the existence of noise and primary signals. A time domain correlation algorithm based on power spectrum cancellation is proposed to detect the cognitive frequency hopping spectrum. The proposed algorithm can be used to improve the detection probability of signals. Moreover, it can overcome the noise uncertainty and restrain the primary signals. Theoretical analysis and computer simulation demonstrate that the time domain correlation algorithm based on power spectrum cancellation is superior to traditional time domain correlation algorithm.

Copyright

© 2019, 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  - Tong Li
AU  - Chenglin Miao
AU  - Huiming Wu
AU  - Cheng Chang
PY  - 2019/05
DA  - 2019/05
TI  - A Novel Cognitive Frequency Hopping Detection Algorithm
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 149
EP  - 153
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.21
DO  - 10.2991/cnci-19.2019.21
ID  - Li2019/05
ER  -