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- Title
Performance Enhancement of Cognitive Radio Using Double Thresholds Eigenvalues Detection.
- Authors
Abdulsatar, Sinan M.; Ziboon, Hadi T.; Majeed, Humam F.
- Abstract
An essential element and one of the challenging tasks in cognitive radio is spectrum sensing. In this paper, a new method to enhance the sensing is presented and implemented, in this scheme eigen-values are obtained from the sample covariance matrix of the signal that received at the secondary user's receivers. Random Matrix Theory (RMT) derives the expression of the thresholds required for effective sensing. Low signal to noise ratio cases have been overcome by the new method which bestead the traditional energy detection method as well as the conventional eigenvalues based on single threshold. The simulation results based on randomly generated signals show that the proposed method exhibits a detection probability of (91.3%) when signal to noise ratio is (-19dB) while it's (78.5%) for classical eigenvalues method. The results also show that the samples' number that needed for reliable sensing is less than the energy detector and the conventional eigenvalues with single threshold method. An implementation of the the proposed method based on FPGA using myRIO-1900 kit is presented in this paper, the results obtained from the simulation and the hardware implementation are identical.
- Subjects
COGNITIVE radio; EIGENVALUES; SIGNAL-to-noise ratio; RANDOM matrices; COVARIANCE matrices
- Publication
International Journal of Intelligent Engineering & Systems, 2020, Vol 13, Issue 3, p350
- ISSN
2185-310X
- Publication type
Article
- DOI
10.22266/ijies2020.0630.32