Antenna selection for cyclostationarity detection based spectrum sensing in cognitive radio

Abstract

This paper presents a novel antenna selection technique for cyclostationarity detection based spectrum sensing for cognitive radio networks. An antenna selection criterion, which can compute by some test statistics obtained the cyclic autocorrelation function of received signals at all receive antenna elements, is developed. The presented results are compared with some conventional results, and the presented techniques can improve the sensing performances in same sensing period as the conventional techniques.