HIGHLIGHTS
- What: In this research, a low-complexity cyclostationary feature detection for improved primary user signal detection with reduced computational complexity is proposed.
- Who: Correlator from the College of Engineering, Al-Iraqia University, Baghdad, Iraq have published the article: Enhanced Cyclostationary Detector Complexity Based on Haar Wavelet and Signed Correlator, in the Journal: (JOURNAL) of 31/07/2023
SUMMARY
Where, y(t) is the received signal, x(t) is the PU`s transmission signal, and w(t) is additive white Gaussian noise (AWGN). The other is the probability of missed detection (Pm . . .
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