A Persymmetric GLRT for Adaptive Detection in Partially-Homogeneous Environment

摘要

This letter deals with the problem of adaptive detection in Gaussian disturbance with unknown but persymmetric structured covariance matrix. A partially-homogeneous environment is considered at the design stage, and a receiver based on the generalized likelihood ratio test (GLRT) is derived. At the analysis stage, the performance of the new receiver is assessed, also in comparison with the unstructured GLRT, showing that the a-priori information on the covariance structure can lead to a noticeable performance improvement.