Detection and sensing of cognitive radio spectrum using minimum eigen value and TW distribution method

Cognitive radio technology are highly shows the non-reliance property to signal to noise ratio due its covariance nature of spectrum sensing. But using T-W distribution with minimum eigen value and does not depend on noise power. In this paper the proposed algorithm does not depend on noise power meanwhile depends on the eigne value. Minimum eigen value causes the detection much easier and thereby performance improvement much better in lower area of signal to noise ratio. While adapting this technique the achievement of low smoothening effect in lower SNR Ranges. So better performance is achieved in concentrating only low signal to noise ratio region and also compared with the other well-known algorithm and here it is shown analytically better performance thaan minimum to maximum eigen value methods in literature. Comparison is made in wide SNR range to shows the advantage of our approach and also we proved our algorithm gives better performance comparing to other eigen value methods.