2016
Knowledge-aided hyperparameter-free Bayesian detection in stochastic homogeneous environments
ICASSP 2016accepted
This paper considers adaptive signal detection in stochastic homogeneous environments where the disturbance covariance matrix of both test and training signals, R, is assumed to be a random matrix with a priori knowledge of R. Unlike existing detectors assuming a known hyperparameter associated with…