naa a22 4500 510795528 CHVBK 20180411083335.0 cr unu---uuuuu 180411e20130101xx s 000 0 eng 10.1007/s11277-011-0442-0 doi (NATIONALLICENCE)springer-10.1007/s11277-011-0442-0 A Novel Technique for Wideband Spectrum Sensing in Cognitive Radio Through Phase-Field Segmentation [Elektronische Daten] [Mohammad Eslami, Seyed Sadough] The problem of wideband spectrum sensing for detecting vacant frequency subbands for opportunistic cognitive radio is investigated. This is achieved through the identification of irregularities (discontinuities) in the estimated power spectrum density. In this paper, we propose a new mathematical framework based on phase-field segmentation method, usually used in the image processing community. We show that by properly setting the parameters of the phase-field function, robustness to fluctuations of the edge threshold value (due to estimation errors for instance) used for spectrum sensing can be achieved. Our numerical results indicate that the sensing accuracy is improved, while the computational complexity is reduced, when compared to conventional methods. Springer Science+Business Media, LLC., 2011 Cognitive radio nationallicence Wideband spectrum sensing nationallicence Phase-field function nationallicence Edge detection nationallicence Segmentation nationallicence Power spectral density nationallicence Eslami Mohammad Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G. C., Evin, 1983963113, Tehran, Iran aut Sadough Seyed Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G. C., Evin, 1983963113, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 68/1(2013-01-01), 115-130 0929-6212 68:1<115 2013 68 11277 https://doi.org/10.1007/s11277-011-0442-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-011-0442-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Eslami Mohammad Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G. C., Evin, 1983963113, Tehran, Iran aut NATIONALLICENCE 700 1- Sadough Seyed Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G. C., Evin, 1983963113, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 68/1(2013-01-01), 115-130 0929-6212 68:1<115 2013 68 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer