Measurement based study of improved spectrum sensing algorithm using sample covariance matrices.

In this paper, an improved blind spectrum sensing algorithm which exploits primary signal correlation is investigated based on actual Digital Video Broadcasting (DTV) signal measurements. There is trade-off between the effectiveness and the complexity of spectrum sensing algorithms. Compared with the covariance absolute value (CAV) detection, the proposed one has better performance and almost the same computational complexity. [ABSTRACT FROM PUBLISHER]