Add to ORKGInternational audienceIn this paper, we study the adaptive version of the asymptotical Bayesian Optimum Radar Detector (BORD) built with a covariance matrix estimate. We investigate its properties, when the noise is modelled as a non-Gaussian complex process, such as Spherically Invariant Random Process (SIRP). We derive, for appropriate covariance matrix estimates, the analytical expression of the relationship between the Probability of False Alarm (PFA) and the detection threshold. We show that this detector distribution does not depend on the SIRP characteristics
We address the estimation of the structure of the covariance matrix and its application to adaptive ...
International audienceAt low grazing angle and/or high resolution radar, sea clutter is not Gaussian...
Abstract—This paper deals with covariance matrix estimation for radar detection in non-Gaussian nois...
International audienceIn this paper, we study the adaptive version of the asymptotical Bayesian Opti...
In this paper, we study the adaptive version of the asymptot-ical Bayesian Optimum Radar Detector (B...
International audienceIn this paper, we use the theory of generalized likelihood ratio tests (GLRT) ...
In this paper, we use the theory of generalized likelihood ra-tio tests (GLRT) to study the adaptive...
We derive the expression of an optimum non-Gaussian radar detector from the non-Gaussian spherically...
International audienceWe derive the expression of an optimum non-Gaussian radar detector from the no...
In this paper, a theoretical expression of the optimum non-Gaussian radar detector is derived from t...
International audienceIn this paper detection performances of the Bayesian Optimum Radar Detector (B...
This paper presents a detailed theoretical analysis of a recently introduced covariance matrix estim...
For a long time, radar echoes coming from the various returns of the transmitted signal on many obje...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
Abstract—Recently, a new adaptive scheme [Conte et al. (1995), Gini (1997)] has been introduced for ...
We address the estimation of the structure of the covariance matrix and its application to adaptive ...
International audienceAt low grazing angle and/or high resolution radar, sea clutter is not Gaussian...
Abstract—This paper deals with covariance matrix estimation for radar detection in non-Gaussian nois...
International audienceIn this paper, we study the adaptive version of the asymptotical Bayesian Opti...
In this paper, we study the adaptive version of the asymptot-ical Bayesian Optimum Radar Detector (B...
International audienceIn this paper, we use the theory of generalized likelihood ratio tests (GLRT) ...
In this paper, we use the theory of generalized likelihood ra-tio tests (GLRT) to study the adaptive...
We derive the expression of an optimum non-Gaussian radar detector from the non-Gaussian spherically...
International audienceWe derive the expression of an optimum non-Gaussian radar detector from the no...
In this paper, a theoretical expression of the optimum non-Gaussian radar detector is derived from t...
International audienceIn this paper detection performances of the Bayesian Optimum Radar Detector (B...
This paper presents a detailed theoretical analysis of a recently introduced covariance matrix estim...
For a long time, radar echoes coming from the various returns of the transmitted signal on many obje...
This paper deals with the problem of coherent radar detection of targets embedded in clutter modeled...
Abstract—Recently, a new adaptive scheme [Conte et al. (1995), Gini (1997)] has been introduced for ...
We address the estimation of the structure of the covariance matrix and its application to adaptive ...
International audienceAt low grazing angle and/or high resolution radar, sea clutter is not Gaussian...
Abstract—This paper deals with covariance matrix estimation for radar detection in non-Gaussian nois...
