Adaptive Radar Detection in the Presence of Missing-data

This article deals with the problem of adaptive radar detection in a missing-data context, where the complete observations (i.e., downstream information loss mechanisms) are characterized by homogeneous Gaussian disturbance with an unknown but possibly structured covariance matrix. The detection pro...

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Bibliographic Details
Published in:	IEEE transactions on aerospace and electronic systems Vol. 58; no. 4; pp. 3283 - 3296
Main Authors:	Aubry, Augusto, Carotenuto, Vincenzo, De Maio, Antonio, Rosamilia, Massimo, Marano, Stefano
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive radar detection Algorithms Covariance matrices Covariance matrix Detectors expectation–maximization (EM) algorithm Hypotheses Interference Likelihood ratio Maximization Maximum likelihood estimates Maximum likelihood estimation Missing data Optimization Radar Radar detection
ISSN:	0018-9251, 1557-9603
Online Access:	Get full text
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