A wideband spectrum sensing method for cognitive radio using Sub-Nyquist sampling

Abstract

Spectrem sensing can be the elemantary element in the psychological feature radio. The band spectrem sensing structure is confered as such that it utilizes the subNyquist sampling scheme to bring subsstantial saving in terms of rate. Compresed Sensing (CS) approach permit sampling of signals below standard Nyqust rate, if signal square measure distributed in some of the basis. With event of wireless communications, demand for the Signal Analyzers with a higher characteristics conjointly will increase. We tend to propose the multicoset emulation as way to scale back the reconstruction quality for the (SingleChannel inhomogeneous Sampler) SNS acquisition. reckoning on acquistion state of affairs, the multicoset emulation might retain, improve or degrades reconstruction quality. However, for all the situations, this emulation reduce reconstruction quality by the minimum of associate order of magnitude