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Flexible, reliable and robust signal detectors are vital components of the emerging cognitive radio networks. This paper presents a novel Goodness-of-fit Higher-Order-Statistics Testing (GHOST) signal detector, which eliminates the drawbacks of the previous related detectors and offers dominant signal detection performances. The detection is made based on goodness-of-fit testing comparing the skewness...
Detection performance of cognitive radios can be significantly improved by utilizing Higher Order Statistics (HOS) in the spectrum sensing process. The additional usage of goodness-of-fit tests on the inspected frequency spectrum can further improve the signal detection. This letter proposes a novel detection method that uses goodness-of-fit tests on the skewness and kurtosis of the FFT power spectrum...
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