Low Complexity Cyclostationary Feature Detection Method to Compenstate Cyclostationarity-Degradation by Guard Interval Insertion
In cognitive radio system, it is necessary for spectrum sensing technology to search for vacant channel. Cyclostationary feature detection method has superior noise-immune and recognition. However, since the mismatch between the detected signal and detection duration by Guard Interval (GI) insertion occurs, the cyclostationarity is degraded. In this paper, the authors propose a high accuracy and low complexity detection method based on cyclostationarity feature. The proposed method limits symbol detection time and makes multiple delay line detectors as units of the GI time.