%0 Conference Paper %B IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2012) %D 2012 %T Generalized matched filter detector for fast fading channels %A Daniel Romero %A R. López-Valcarce %A Geert Leus %K cognitive radio %K dynacs %K spectrum sensing %X
We consider the problem of detecting a known signal with constant magnitude immersed in noise of unknown variance,
when the propagation channel is frequency-flat and randomly
time-varying within the observation window. A Basis Expansion
Model with random coefficients is used for the channel, and a Generalized Likelihood Ratio approach is adopted in order to cope with deterministic nuisance parameters. The resulting scheme can be seen as a generalization of the well-known
Matched Filter detector, to which it reduces for timeinvariant
channels. Closed-form analytical expressions are provided for the distribution of the test statistic under both hypotheses, which allow to assess the detection performance.
%B IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2012) %I IEEE %C Kyoto, Japan %8 07/2012 %G eng %R 10.1109/ICASSP.2012.6288587