A Persymmetric GLRT for Adaptive Detection in Partially-Homogeneous Environment

Abstract

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 <i>a-priori</i> information on the covariance structure can lead to a noticeable performance improvement.

DOI: 10.1109/LSP.2007.906209

1 Figure or Table

051015201520162017
Citations per Year

Citation Velocity: 8

Averaging 8 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@article{Casillo2007APG, title={A Persymmetric GLRT for Adaptive Detection in Partially-Homogeneous Environment}, author={M. Casillo and Antonio De Maio and Salvatore Iommelli and Luciano Landi}, journal={IEEE Signal Processing Letters}, year={2007}, volume={14}, pages={1016-1019} }