Experimental analyses of spectrum sensing using cyclic autocorrelation function diversity combining techniques in cognitive radio

Abstract

This paper discusses experimental analyses of spectrum sensing of an orthogonal frequency division multiplexing signal using cyclic autocorrelation function (CAF) diversity combining techniques in cognitive radio. Traditionally, the CAF diversity combining based spectrum sensing technique has been presented. The techniques is based on an equal gain combining and has a low computational cost in comparison with other cyclostationarity detection based spectrum sensing using space diversity. The paper provides the experimental results to validate the effectiveness of the CAF diversity combining technique. For experimental analyses, a testbed for the evaluation of multiple receive antennas based spectrum sensing is developed. The developed testbed is mainly composed of a Universal Software Radio Peripheral (USRP) / GNU Radio which is one of the software defined radio receiver, and the spectrum sensing technique is experimentally demonstrated at an anechoic chamber using 470–;710MHz frequency band allocated to ISDB-T (terrestrial digital broadcasting) in Japan. From these results, the effectiveness of the CAF diversity combining techniques is validated.