- Research Article
- Open access
- Published:
Blind Detection of Wideband Interference for Cognitive Radio Applications
EURASIP Journal on Advances in Signal Processing volume 2009, Article number: 727686 (2009)
Abstract
Cognitive radio technologies are being developed which allow heterogeneous systems to share spectrum access while minimizing interference to improve the overall efficiency of spectrum usage. Thus, one important function of a cognitive radio is dynamically to avoid transmitting in occupied spectrum by detecting signals received from unknown competing systems. Robust operation requires the detection of multiple wideband interferers of unknown statistics from a single received sample vector. This paper describes the hypothesis tests that must be evaluated to perform detection of such signals and discusses several methods for performing detection. Computer simulation results are presented to show that hidden Markov modelling and power spectral analysis with edge enhancement are more robust than a simple "interference temperature-" based energy detector.
Publisher note
To access the full article, please see PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Coulson, A.J. Blind Detection of Wideband Interference for Cognitive Radio Applications. EURASIP J. Adv. Signal Process. 2009, 727686 (2009). https://doi.org/10.1155/2009/727686
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1155/2009/727686