Simple Diversity Combining Techniques for Cyclostationarity Detection Based Spectrum Sensing in Cognitive Radio Networks

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

“…The CAF diversity combining technique [12] was implemented to the developed testbed for the evaluation of multiple receive antennas based spectrum sensing. The developed testbed was mainly composed of two USRPs / GNU Radio, and the experiment was carried out in the anechoic chamber.…”

“…The MCAS technique has a low computational cost in comparison with other cyclostationarity detection based spectrum sensing techniques. The CAF diversity combining technique [12] is the extended version of MCAS techniques and is based on the equal gain combining technique which is one of the space diversity. We assume that the numerical value of the CAF at 1 isˆ1 , ( ) as a signal component, and the numerical value of the CAF at each iŝ , ( ) as a noise component.…”

“…However, the computational cost of these techniques is not a small because the cost of the cyclostationarity detection based spectrum sensing is a large. In these techniques, an equal gain combining based technique [12], which combines a cyclic autocorrelation function (CAF) obtained at each receive antenna for some cyclic frequency, has a low computational cost comparing with other techniques. On the other hands, the evaluation of these sensing techniques mainly depend on a computational simulation based evaluation, and an experiment based evaluation for multiple receive antennas based technique has never been reported as well as we know.…”

A weighted diversity combining technique for cyclostationarity detection based spectrum sensing in cognitive radio networks

“…In the CAF diversity combining technique using EGC [14], computed CAF values instead of received signals themselves are combined owing to the difficulty of signal synchronization in the extremely low SNR environment. The manner is the same in the presented technique.…”

“…In such an environment, it is difficult to acquire the signal synchronization of these received signals, and highly effective space diversity techniques cannot be applied, such as a maximum ratio combining [11]. A spectrum sensing technique using the equal gain combining (EGC) based MCAS technique has been presented [14]. In this technique, some of the computed CAFs are combined whereas some received signals themselves are combined in general diversity techniques, and it has been reported that this technique can improve the signal detection performance.…”