2020 15th IEEE International Conference on Signal Processing (ICSP) 2020
DOI: 10.1109/icsp48669.2020.9321028
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Cited by 2 publications
(1 citation statement)
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“…These algorithms are used to determine the state (occupied or unoccupied) of a PU in a certain frequency band. Some examples of these techniques include: energy detection (ED) [7], Cyclostationary Features (CFs) Detection [8], eigenvalue of the covariance matrix (CM) of random matrix theory (RMT)-based detection methods [9][10][11], and information geometry theory (IGT)-based methods [12]. Consequently, previous classical SS techniques are unable to adapt to the dynamic nature of the actual channel because they rely on a fixed detection threshold [13].…”
Section: Introductionmentioning
confidence: 99%
“…These algorithms are used to determine the state (occupied or unoccupied) of a PU in a certain frequency band. Some examples of these techniques include: energy detection (ED) [7], Cyclostationary Features (CFs) Detection [8], eigenvalue of the covariance matrix (CM) of random matrix theory (RMT)-based detection methods [9][10][11], and information geometry theory (IGT)-based methods [12]. Consequently, previous classical SS techniques are unable to adapt to the dynamic nature of the actual channel because they rely on a fixed detection threshold [13].…”
Section: Introductionmentioning
confidence: 99%