Abstrato

Survey on Spectrum Sensing For Digital Primary Signals in Cognitive Radio Using Bayesian Approach

Dr.Prakash.H.Patil , Anuja A.Kokil

We survey the performance analysis of the suboptimal detectors in terms of probabilities of detection and false alarm, and selection of detection threshold and number of samples. With the prior knowledge that the primary user is highly likely idle and the primary signals are digitally modulated, Here a Bayesian detector (BD) for digitally modulated primary signals to maximize the spectrum utilization, without the prior information on the transmitted sequence of the primary signals is proposed. The proposed method makes use of the prior statistics of PU activity and the signalling information of the PU such as symbol rate and modulation order to improve the SU throughput and the overall spectrum utilization of both PUs and SUs.