Open AccessCooperative wideband spectrum sensing in cognitive radio based on sparse real‐valued fast Fourier transform
Author(s) -
Khayyeri Mohammad,
Mohammadi Karim
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5930
Subject(s) - cognitive radio , computer science , bandwidth (computing) , wideband , nyquist rate , fast fourier transform , nyquist–shannon sampling theorem , electronic engineering , software defined radio , algorithm , sampling (signal processing) , telecommunications , wireless , engineering , detector , computer vision
The Cognitive Radio (CR) plays a key role in identifying free bandwidths in the Radio Frequency (RF) spectrum. High‐speed Analog‐to‐Digital Converters are normally applied for spectrum sensing of sideband signals providing several raw data for digital signal processors resulted in energy‐inefficient complex circuits and hardware resources in digital signal processing blocks. In some instances, the frequency spectrum is sparsely occupied by various users, i.e., only a few active frequency bands exist at the same time. This feature enables CR application to use sub‐Nyquist sampling approaches for designing a system representing significantly reduced cost and power consumption, as well as improved processing speed. The current paper introduced a novel Cooperative Real‐valued Sparse Spread Spectrum Sensing algorithm (CR4S) based on a sub‐Nyquist sampling approach by employing the sparsity of the frequency spectrum and the real‐valued properties of the RF signal to identify free bandwidth with minimum computational complexity. The CR4S algorithm aimed at improving CR spectrum sensing by utilizing techniques such as Real‐valued FFT, Sparse Fast Fourier Transform, and collaborative spectrum sensing. The proposed algorithm has been approved by simulation to above 95% detection performance. The performance enhancement in the CR4S algorithm is an emerging advance being fascinating for portable CR devices.