文章基本信息

标题：Wideband Cognitive Radio Networks Based Compressed Spectrum Sensing: A Survey
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作者：Mohammed Asaduzzaman Abo-Zahhad ; Sabah M. Ahmed ; Mohammed Asaduzzaman Farrag 等
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2018
卷号：09
期号：02
页码：122-151
DOI：10.4236/jsip.2018.92008
语种：English
出版社：Scientific Research Publishing
摘要：Spectrum sensing is a core function at cognitive radio systems to have spectrum awareness. This could be achieved by collecting samples from the frequency band under observation to make a conclusion whether the band is occupied, or it is a spectrum hole. The task of sensing is becoming more challenging especially at wideband spectrum scenario. The difficulty is due to conventional sampling rate theory which makes it infeasible to sample such very wide range of frequencies and the technical requirements are very costly. Recently, compressive sensing introduced itself as a pioneer solution that relaxed the wideband sampling rate requirements. It showed the ability to sample a signal below the Nyquist sampling rate and reconstructed it using very few measurements. In this paper, we discuss the approaches used for solving compressed spectrum sensing problem for wideband cognitive radio networks and how the problem is formulated and rendered to improve the detection performance.
关键词：Cognitive Radio;Spectrum Sensing;Compressive Sensing;Compressed Measurements;Nyquist Sampling Rate