PROJECT TITLE :

Accurate Performance Analysis of Hadamard Ratio Test for Robust Spectrum Sensing

ABSTRACT:

Hadamard ratio test is a well-known approach to robust signal detection in multivariate analysis. Recently, it has been exploited for sturdy spectrum sensing in cognitive radio, however its detection performance isn't however completely analyzed. This work is devoted to accurate detection performance analysis of the Hadamard ratio technique for robust spectrum sensing. By computing the primary and second precise negative moments for the signal-presence hypothesis together with using the Beta distribution approximation, we derive accurate analytic formulae for detection likelihood. This allows us to theoretically evaluate the detection behavior of the Hadamard ratio take a look at. Numerical results are presented to validate our theoretical findings.