International Journal of Advanced Research in Computer Engineering & Technology
Today, by unprecedented growth of wireless applications, the problem of spectrum scarce is becoming apparent. Most of the spectrum has been allocated to specific users, while other spectrum bands that haven't been assigned are overcrowded because of overuse. Real time spectrum sensing with certain accuracy plays a key role in cognitive radio. In this paper, Cyclostationary feature spectrum sensing technique is discussed. Cyclostationary feature can be used for spectrum sensing in a very low SNR environment (less than -20 dB). The sensing algorithms are based on measurement of cyclic properties of the received signals. Usually, cyclostationary feature detection requires high computation complexity.