The spectral correlation theory of cyclostationary time-series
Signal Processing
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Digital signal processing (2nd ed.): principles, algorithms, and applications
Digital signal processing (2nd ed.): principles, algorithms, and applications
Probability Distributions Involving Gaussian Random Variables: A Handbook for Engineers, Scientists and Mathematicians
IEEE 802.22: the first cognitive radio wireless regional area network standard
IEEE Communications Magazine
Spectrum characterization for opportunistic cognitive radio systems
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
CFAR Outlier Detection With Forward Methods
IEEE Transactions on Signal Processing
Filter Bank Spectrum Sensing for Cognitive Radios
IEEE Transactions on Signal Processing
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Detection of stochastic processes
IEEE Transactions on Information Theory
Suppression of multiple narrowband interferers in a spread-spectrum communication system
IEEE Journal on Selected Areas in Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Cyclostationary Signatures in Practical Cognitive Radio Applications
IEEE Journal on Selected Areas in Communications
Spectrum holes detection by information theoretic criteria
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
| Hi-index | 0.00 |
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.