2015
DOI: 10.1016/j.procs.2015.08.039
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Comparative Study of Single-user Spectrum Sensing Techniques in Cognitive Radio Networks

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Cited by 22 publications
(2 citation statements)
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“…According to the available literature, there are also other methods which are less often applied for spectrum sensing, but they are possible candidates for RCIED activation signal detection. Some of them are waveform based detection, eigen-value based detection, wavelet based edge detection, ciclostationary feature detection [20] and so on. These methods, as generally less often applied ones, are beyond the scope of this paper.…”
Section: Principles Of Detection Processmentioning
confidence: 99%
“…According to the available literature, there are also other methods which are less often applied for spectrum sensing, but they are possible candidates for RCIED activation signal detection. Some of them are waveform based detection, eigen-value based detection, wavelet based edge detection, ciclostationary feature detection [20] and so on. These methods, as generally less often applied ones, are beyond the scope of this paper.…”
Section: Principles Of Detection Processmentioning
confidence: 99%
“…Among various SS techniques documented in the literature under the category of single‐user SS such as match filter detection (MFD), waveform‐based detection, cyclo‐stationary feature detection (CFD), and energy detection (ED). Out of these, ED is the most commonly employed technique [1], due to simplicity and efficiency. However, the performance of this single‐user ED‐based SS technique degrades in fading and shadowing the environment.…”
Section: Introductionmentioning
confidence: 99%