Filter Bank Spectrum Sensing for Cognitive Radios

By Behrouz Farhang-Boroujeny. IEEE Transactions on Signal Processing, 2008

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Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances (2012, methodology): “For more details on spectrum sensing using filterbanks and multitaper methods, we refer the reader to [36] and [38].”
Signal Processing in Cognitive Radio (2009, background): “As a result, the power spectrum estimator must have a high spectral dynamic range (SDR), which is defined as the ratio of the maximum and the minimum spectral powers that are distinguishable by this estimator [ 11 ].”
Spectrum Sensing for Cognitive Radio (2009, background): “Last, but by no means least, Farhang-Boroujeny [ 68 ] has shown that the underlying analytic theory of the MTM, leading to the derivation of the multitaper spectral estimator, can indeed be reformulated in the framework of filter banks.”
Wideband spectrum sensing for cognitive radio networks: a survey (2013, background): “Unfortunately, due to the parallel structure of the ﬁlter bank, the implementation of this algorithm requires a large number of RF components.”
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, methodology): “different shifted central frequencies) is presented in [100] to process the received wideband signal.”