Bayesian framework for detector development in Pareto distributed clutter-Reference-Cited by-同舟云学术

Bayesian framework for detector development in Pareto distributed clutter

Published:2019-09 Issue:9 Volume:13 Page:1548-1555
ISSN:1751-8792
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Weinberg Graham V.¹^ORCID,Howard Stephen D.²,Tran Charlie¹

Affiliation:

1. Weapons and Combat Systems DivisionDefence Science and Technology GroupP. O. Box 1500EdinburghSouth Australia5111Australia

2. National Security and Intelligence, Surveillance and Reconnaissance DivisionDefence Science and Technology GroupEdinburghSouth Australia5111Australia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2018.5635

Reference29 articles.

1. Radar Detection Theory of Sliding Window Processes

2. Maximum likelihood estimation for compound‐Gaussian clutter with inverse‐gamma texture;Balleri A.;IEEE Trans. Aerosp. Electron. Syst.,2007

3. Assessing Pareto fit to high resolution high grazing angle sea clutter;Weinberg G.V.;IET Electron. Lett.,2011

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