Geometric barycenters for covariance estimation in compound‐Gaussian clutter-Reference-Cited by-同舟云学术

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Geometric barycenters for covariance estimation in compound‐Gaussian clutter

Published:2017-03 Issue:3 Volume:11 Page:404-409
ISSN:1751-8792
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Cui Guolong¹,Li Na¹,Pallotta Luca²,Foglia Goffredo³,Kong Lingjiang¹

Affiliation:

1. School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengdu611731People's Republic of China

2. CNITViale G.P. Usberti, n. 181/A – 43124 Parma, c/o udr Università ‘Federico II’, via Claudio 21I‐80125NapoliItaly

3. Elettronica S.p.A.Via Tiburtina km 13.7I‐00131RomaItaly

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2016.0092

Reference29 articles.

1. Fast converging adaptive processor or a structured covariance matrix;Steiner M.;IEEE Trans. Aerosp. Electron. Syst.,2000

2. Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models

3. Maximum likelihood estimation of a structured covariance matrix with a condition number constraint;Aubry A.;IEEE Trans. Signal Process.,2012

4. Rapid Convergence Rate in Adaptive Arrays

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