naa a22 4500 510795099 CHVBK 20180411083333.0 cr unu---uuuuu 180411e20130401xx s 000 0 eng 10.1007/s11277-012-0650-2 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0650-2 Zhao Nan School of Information and Telecommunication Engineering, Dalian University of Technology, 116024, Dalian, Liaoning, China aut A Novel Two-Stage Entropy-Based Robust Cooperative Spectrum Sensing Scheme with Two-Bit Decision in Cognitive Radio [Elektronische Daten] [Nan Zhao] 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. Springer Science+Business Media, LLC., 2012 Cognitive radio nationallicence Cooperative spectrum sensing nationallicence Information entropy nationallicence Two-stage detection nationallicence Noise uncertainty nationallicence Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1551-1565 0929-6212 69:4<1551 2013 69 11277 https://doi.org/10.1007/s11277-012-0650-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0650-2 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Zhao Nan School of Information and Telecommunication Engineering, Dalian University of Technology, 116024, Dalian, Liaoning, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1551-1565 0929-6212 69:4<1551 2013 69 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer