Multirate systems and filter banks
Multirate systems and filter banks
Matrix computations (3rd ed.)
Experimental study of spectrum sensing based on energy detection and network cooperation
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Spectrum characterization for opportunistic cognitive radio systems
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Filter Bank Spectrum Sensing for Cognitive Radios
IEEE Transactions on Signal Processing
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One of the key tasks in Cognitive Radio (CR) system is to dynamically explore the spectrum and reliably detect the presence of Primary Users (PU). In this paper, we revisit several classical spectrum analysis methods, such as, Weighted Overlapped Segment Averaging (WOSA) approach, Multi-Taper Spectral Estimator (MTSE) and MUltiple SIgnal Classification (MUSIC) algorithm into wideband multiple primary user sensing and detection. We propose to use the polyphase DFT Filter Banks (DFB) for the implementation of Multi-Taper Spectral Estimator which achieves a good tradeoff between complexity and performance. Detailed performance and computational complexity comparisons of these methods are provided.