Performance Analysis of the Effect of Sub Nyquist Sampling on Multi Rate Filter Bank Cognitive Radio

Cognitive Radios opportunistically use the spectrum just to counter the cognitive radio network problems of wideband spectrum sensing, dynamic resource allocation and waveform adaptation with the protection of primary systems and with aim to meet the technical challenges of sensing at low SNR, robustness to noise uncertainty and interference identification. The present paper deals with the effect of Sub Nyquist Sampling on the Filter Bank Multi Carrier Cognitive Radio using optimized wideband spectrum sensing approach. IEEE 802.22 requires CRs to sense Primary User signals as low as -114dBm. In order to identify the locations of vacant frequency bands,the entire wideband is modelled as a train of consecutive frequency sub bands and the total wideband is sampled in a compressed manner. The problem is to detect the presence or absence of signal in each spectral band at a sub Nyquist sampling rate.