Multirate Signal Processing for Communication Systems
Multirate Signal Processing for Communication Systems
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
A sub-space method to detect multiple wireless microphone signals in TV band white space
Analog Integrated Circuits and Signal Processing
Reconfigurable polyphase filter bank architecture for spectrum sensing
ARC'10 Proceedings of the 6th international conference on Reconfigurable Computing: architectures, Tools and Applications
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A primary task performed by a Cognitive Radio is that of spectral estimation to locate the segments in a spectral span that contain white zones, spans that contains noise only, or grey zones, spans that contain signals with significant intervals of off-time. The identification of spectral regions containing noise only spectra, as opposed to regions containing signals with low spectral density, is surprising difficult. The estimator must deal with questions of transform length, window selection, window length, window overlap, and ensemble averaging options. This paper describes the impact of each selection option and presents the architecture of the optimal spectral estimator.