The generalized likelihood ratio test (GLRT) is a standard tool for designing signal detectors. It produces detectors that perform well when the signal model is known, except for a fixed set of signal parameters. However, it is unable to accommodate multiple signal models. We introduce the multifamily likelihood ratio test, which extends the GLRT and alleviates this limitation. © 2005 IEEE
A common problem in active sonar is that of multipath propagation in the ocean environment. A genera...
Abstract—Spectrum sensing is a key function of cognitive radios and is used to determine whether a p...
As is known, eigenvalue based spectrum sensing for multi-antenna cognitive radio systems is a highly...
The generalized likelihood ratio test (GLRT) is a standard tool for designing signal detectors. It p...
International audienceWe consider the problem of detecting an unknown signal that lies in a union of...
International audienceThis paper studies the performance of the generalized likelihood ratio test (G...
The generalized likelihood ratio test (GLRT) is widely used in signal processing applications such a...
In this paper, we consider the problem of multiple antenna spectrum sensing in Cognitive Radios (CR)...
The generalized likelihood ratio test (GLRT) is invariant with respect to transformations for which ...
In this paper a multichannel subspace detector is proposed based on a separable spatio-temporal line...
In this paper a multichannel subspace detector is proposed based on a separable spatio-temporal line...
International audienceWe consider the classical radar problem of detecting a target in Gaussian nois...
A novel method of constructing a joint PDF under H1, when the joint PDF under H0 is known, is develo...
The problem of spectrum sensing in multi-frequency cognitive radio systems is addressed. We show tha...
This paper presents an adaptive Generalized Likelihood Ratio (GLR) test for multiple Faults Detectio...
A common problem in active sonar is that of multipath propagation in the ocean environment. A genera...
Abstract—Spectrum sensing is a key function of cognitive radios and is used to determine whether a p...
As is known, eigenvalue based spectrum sensing for multi-antenna cognitive radio systems is a highly...
The generalized likelihood ratio test (GLRT) is a standard tool for designing signal detectors. It p...
International audienceWe consider the problem of detecting an unknown signal that lies in a union of...
International audienceThis paper studies the performance of the generalized likelihood ratio test (G...
The generalized likelihood ratio test (GLRT) is widely used in signal processing applications such a...
In this paper, we consider the problem of multiple antenna spectrum sensing in Cognitive Radios (CR)...
The generalized likelihood ratio test (GLRT) is invariant with respect to transformations for which ...
In this paper a multichannel subspace detector is proposed based on a separable spatio-temporal line...
In this paper a multichannel subspace detector is proposed based on a separable spatio-temporal line...
International audienceWe consider the classical radar problem of detecting a target in Gaussian nois...
A novel method of constructing a joint PDF under H1, when the joint PDF under H0 is known, is develo...
The problem of spectrum sensing in multi-frequency cognitive radio systems is addressed. We show tha...
This paper presents an adaptive Generalized Likelihood Ratio (GLR) test for multiple Faults Detectio...
A common problem in active sonar is that of multipath propagation in the ocean environment. A genera...
Abstract—Spectrum sensing is a key function of cognitive radios and is used to determine whether a p...
As is known, eigenvalue based spectrum sensing for multi-antenna cognitive radio systems is a highly...