@conference {653, title = {Generalized matched filter detector for fast fading channels}, booktitle = {IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2012) }, year = {2012}, month = {07/2012}, publisher = {IEEE}, organization = {IEEE}, address = {Kyoto, Japan}, abstract = {
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.
}, keywords = {cognitive radio, dynacs, spectrum sensing}, doi = {10.1109/ICASSP.2012.6288587}, author = {Daniel Romero and R. L{\'o}pez-Valcarce and Geert Leus} }