A CFAR Detector for Mismatched Eigenvalues of Training Sample Covariance Matrix

摘要

In this paper, an approach for the adaptive detection of a hypothesized signal in unknown multivariate Gaussian interference-plus-noise is considered under conditions where the set of signal space eigenvalues of the interference-plus-noise covariance matr