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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...
In this paper, we investigate a robust spectrum sensing scheme using multiple antennas, which exploits the information of eigenvalues' characteristics of the sample covariance matrix. The difference between the maximum eigenvalue and the average of the remainder eigenvalues of sample covariance matrix is utilized as the test statistic. Besides, by exploiting Gaussian approximation for the test statistic,...
Spectrum sensing is a core problem in cognitive radio. Detecting the presence/absence of very weak primary users with a single antenna can be very difficult. Environmental uncertainties result in SNR walls that detectors cannot overcome. Multiple-antenna approaches show some potential gains, but we show here that single-user multiple-antenna detection still must suffer from an SNR wall. The reason...
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