Modeling and Parameter Estimation of Radar Sea-Clutter with Trimodal Gamma Population

• Autorzy: Terki Zakia , Mezache Amar , Chebbara Fouad

Identyfikatory

DOI

10.26636/jtit.2022.160422

• Języki publikacji: EN

Abstrakty

EN

Real radar data often consist of a mixture of Gaussian and non-Gaussian clutter. Such a situation creates one or more inflexion points in the curve of the empirical cumulative distributed function (CDF). In order to obtain an accurate fit with sea reverberation data, we propose, in this paper, a trimodal gamma disturbance model and two parameter estimators. The non-linear least-squares (NLS) fit approach is used to avoid computational issues associated with the maximum likelihood estimator (MLE) and moments-based estimator for parameters of the mixture model. For this purpose, a combination of moment fit and complementary CDF (CCDF) NLS fit methods is proposed. The simplex minimization algorithm is used to simultaneously obtain all parameters of the model. In the case of a single gamma probability density function, a zlog(z) method is derived. Firstly, simulated life tests based on a gamma population with different shape parameter values are worked out. Then, numerical illustrations show that both MLE and zlog(z) methods produce closer results. The proposed trimodal gamma distribution with moments NLS fit and CCDF NLS fit estimators is validated to be in qualitative agreement with different cell resolutions of the available IPIX database.

Słowa kluczowe

EN

CCDF; estimation; least squares; MLE; modeling; trimodal Gamma model; zlog(z)

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2022
• Tom: nr 2
• Strony: 82--90
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Terki Zakia

• Laboratoire de Génie Electrique, LAGE, Département d'Electronique, Université Kasdi Merbah Ouargla, Ouargla, Algéria

autor

Mezache Amar

• Département d'Electronique, Université Mohamed Boudiaf M'sila, M'sila, Algéria
• Laboratoire SISCOM, Université de Constantine, Constantine, Algéria

autor

Chebbara Fouad

• Laboratoire de Génie Electrique, LAGE, Département d'Electronique, Université Kasdi Merbah Ouargla, Ouargla, Algéria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).