naa a22 4500 51079484X CHVBK 20180411083332.0 cr unu---uuuuu 180411e20130401xx s 000 0 eng 10.1007/s11277-012-0659-6 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0659-6 A Comparative Study of Different Entropies for Spectrum Sensing Techniques [Elektronische Daten] [Wanjing Zhu, Jianguo Ma, Oliver Faust] In this paper, we propose entropy-based spectrum sensing schemes to detect the existence of a primary user in Cognitive Radio (CR). To support this proposal, we have studied four types of entropies [Approximate Entropy (ApEn), Bispectral Entropy (BispEn), Sample Entropy (SamEn) and Rényi Entropy (RenyiEn)] and their applications for spectrum sensing. The reason for investigating these entropies comes from the fact that different types of entropies have different characteristics which make them more or less suitable for specific applications. Monte Carlo simulations were executed to find out how suitable these measures are for CR. Averaged value curves, boxplots and Analysis of Variance (ANOVA) tests document the performance of these types of entropies. The results show that BispEn outperformed the other three entropy measures. The ANOVA test shows that BispEn can sense modulated signals when the (SNR) is as low as −15 dB. This is at least a 5 dB improvement compared to the other entropies studied in this paper. Springer Science+Business Media, LLC., 2012 Entropy nationallicence Cognitive radio nationallicence Spectrum sensing nationallicence AWGN : Additive White Gaussian Noise nationallicence ANOVA : Analysis of Variance nationallicence ApEn : Approximate Entropy nationallicence ASK : Amplitude-shift keying nationallicence BispEn : Bispectral Entropy nationallicence CR : Cognitive Radio nationallicence EEG : Electroencephalography nationallicence FCC : Federal Communications Commission nationallicence HRV : Heart Rate Variability nationallicence RenyiEn : Rényi Entropy nationallicence RRC : Root-raised Cosine nationallicence SamEn : Sample Entropy nationallicence SNR : Signal to Noise Ratio nationallicence OFDM : Orthogonal Frequency-division Multiplexing nationallicence Zhu Wanjing School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China aut Ma Jianguo School of Electronic Information Engineering, Tianjin University, Tianjin, China aut Faust Oliver School of Engineering, Ngee Ann Polytechnic, Singapore, Singapore aut Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1719-1733 0929-6212 69:4<1719 2013 69 11277 https://doi.org/10.1007/s11277-012-0659-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0659-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhu Wanjing School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China aut NATIONALLICENCE 700 1- Ma Jianguo School of Electronic Information Engineering, Tianjin University, Tianjin, China aut NATIONALLICENCE 700 1- Faust Oliver School of Engineering, Ngee Ann Polytechnic, Singapore, Singapore aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 69/4(2013-04-01), 1719-1733 0929-6212 69:4<1719 2013 69 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer