An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Experimental study of spectrum sensing based on energy detection and network cooperation
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Entropy-based spectrum sensing in cognitive radio
Signal Processing
Cooperative Spectrum Sensing Based on SNR Comparison in Fusion Center for Cognitive Radio
ICACC '09 Proceedings of the 2009 International Conference on Advanced Computer Control
A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks
IEEE Communications Letters
Spectrum sensing measurements of pilot, energy, and collaborative detection
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Estimating the entropy of a signal with applications
IEEE Transactions on Signal Processing
Wireless Personal Communications: An International Journal
Distributed Delay-Aware Routing and Metrics Evaluation for Cognitive Radio Networks
Wireless Personal Communications: An International Journal
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Spectrum sensing is a key problem in cognitive radio. However, traditional detectors become ineffective when noise uncertainty is severe. It is shown that the entropy of Gauss white noise is constant in the frequency domain, and a robust detector based on the entropy of spectrum amplitude was proposed. In this paper a novel detector is proposed based on the entropy of spectrum power density, and its performance is better than the previous scheme with less computational complexity. Furthermore, to improve the reliability of the detection, a two-stage entropy-based cooperative spectrum sensing scheme using two-bit decision is proposed, and simulation results show its superior performance with relatively low computational complexity.