Cooperative spectrum sensing using discrete goodness of fit testing for multi-antenna cognitive radio system
In diversity-based multiple antenna cognitive radio system, the performance of the existing cooperative spectrum sensing algorithms based on covariance matrix degrades seriously due to the channel correlation. In this paper, we formulate spectrum sensing as a multinomial distribution test problem, and then apply the Discrete Anderson Darling (DAD) test, one of discrete goodness of fit tests, to examining the above problem. The proposed algorithm dubbed DAD sensing is assessed through Monte Carlo simulations. It is shown that the performance of DAD sensing is robust to the antenna correlation and noise uncertainty.