Parameter estimation of CGIG clutter plus noise using constrained NIOME and MLE approaches-Reference-Cited by-同舟云学术

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Parameter estimation of CGIG clutter plus noise using constrained NIOME and MLE approaches

Published:2018-02 Issue:2 Volume:12 Page:176-185
ISSN:1751-8792
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Mezache Amar¹²,Gouri Amel¹,Oudira Houcine¹³

Affiliation:

1. Department of ElectronicsUniversity of Mohamed BoudiafM'sila28000Algeria

2. Laboratoire Signaux et Systèmes de Communication (SISCOM)University of Constantine, ConstantineAlgeria

3. Laboratoire de Génie Electrique (LGE)University of M'SilaM'SilaAlgeria

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2017.0234

Reference24 articles.

1. Coherent Radar Target Detection in Heavy-Tailed Compound-Gaussian Clutter

2. Compound‐Gaussian clutter modeling with an inverse Gaussian texture distribution;Ollila E.;IEEE Trans. Signal Process. Lett.,2012

3. Fractional order pareto distributions with application to X‐band maritime radar clutter;Alexopoulos A.;IET Radar Sonar Navig..,2015

4. Parameter estimation for compound‐Gaussian clutter with inverse‐Gaussian texture

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling and Parameter Estimation of Radar Sea-Clutter with Trimodal Gamma Population;Journal of Telecommunications and Information Technology;2022-06-30

2. Parameter Estimation for a Compound Radar Clutter Model With Trimodal Discrete Texture;IEEE Transactions on Geoscience and Remote Sensing;2020-10

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