Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Signal Processing Advances in Wireless and Mobile Communications, Volume 1: Trends in Channel Estimation and Equalization
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Random matrix theory and wireless communications
Communications and Information Theory
Compressive wide-band spectrum sensing
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Cooperative spectrum sensing based on the limiting eigenvalue ratio distribution in Wishart matrices
IEEE Communications Letters
On the marginal distribution of the eigenvalues ofWishart matrices
IEEE Transactions on Communications
Eigenvalue-based spectrum sensing algorithms for cognitive radio
IEEE Transactions on Communications
Optimal multiband joint detection for spectrum sensing in cognitive radio networks
IEEE Transactions on Signal Processing
TV white-space sensing prototype
Wireless Communications & Mobile Computing - Cognitive Radio and Advanced Spectrum Management
IEEE 802.22: the first cognitive radio wireless regional area network standard
IEEE Communications Magazine
How much time is needed for wideband spectrum sensing?
IEEE Transactions on Wireless Communications
Cooperative covariance and eigenvalue based detections for robust sensing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Proactive detection of spectrum holes in cognitive radio
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Subcarrier sensing for distributed OFDMA in powerline communication
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
On Probing Signal Design For MIMO Radar
IEEE Transactions on Signal Processing
Cramer-Rao bounds for estimating range, velocity, and directionwith an active array
IEEE Transactions on Signal Processing
A survey of spectrum sensing algorithms for cognitive radio applications
IEEE Communications Surveys & Tutorials
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks
IEEE Transactions on Wireless Communications
Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks
IEEE Transactions on Wireless Communications
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Achievable rates in cognitive radio channels
IEEE Transactions on Information Theory
Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs
IEEE Communications Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Spectrum sensing with active cognitive systems
IEEE Transactions on Wireless Communications
Cooperative spectrum sensing in cognitive radio networks with weighted decision fusion schemes
IEEE Transactions on Wireless Communications
Optimal classifier based spectrum sensing in cognitive radio wireless systems
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Spectrum sensing and power/rate control in CDMA cognitive radio networks
International Journal of Communication Systems
Adaptive Spectrum Sensing Algorithm in Cognitive Ultra-wideband Systems
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Optimal non-identical sensing setting for multi channels in cognitive radio networks
Computer Communications
On cognitive processes in cognitive radio networks
Wireless Networks
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Cognitive radio is widely expected to be the next Big Bang in wireless communications. Spectrum sensing, that is, detecting the presence of the primary users in a licensed spectrum, is a fundamental problem for cognitive radio. As a result, spectrum sensing has reborn as a very active research area in recent years despite its long history. In this paper, spectrum sensing techniques from the optimal likelihood ratio test to energy detection, matched filtering detection, cyclostationary detection, eigenvalue-based sensing, joint space-time sensing, and robust sensing methods are reviewed. Cooperative spectrum sensing with multiple receivers is also discussed. Special attention is paid to sensing methods that need little prior information on the source signal and the propagation channel. Practical challenges such as noise power uncertainty are discussed and possible solutions are provided. Theoretical analysis on the test statistic distribution and threshold setting is also investigated.