ZOULIKHA Douiou
ضويو زليخة
zoulikha.douiou@univ-msila.dz
0658045007
- Departement of ELECTRONICS
- Faculty of Technology
- Grade PHd
About Me
Science et Technologies
Filiere
Télécommunications
Location
Msila, Msila
Msila, ALGERIA
Code RFIDE- 1999-01-11 00:00:00
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ZOULIKHA Douiou birthday
- 2025-05-07
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2025-05-07
On the Parameter Estimation of CG-LNT Radar Clutter
Abstract Parameter estimation of radar clutter modeled by the Compound-Gaussian with Lognormal Texture (CG-LNT) distribution is crucial for improving detection performance in high-resolution radar systems. The CG-LNT model, a heavy-tailed and non-Gaussian distribution, is widely used to characterize sea clutter variations. In paper, comparative study of the performance of the different methods of estimation is conducted. The estimators considered are higher order moment estimator (HOME), fractional order moment estimator (FOME), [zlog(z)] estimator and fractional negative order moment estimator. Furthermore, the impact of the fractional order in the FOME and FNOME estimator is also considered in his paper, where the performance of these two estimators is tested using different values of the fractional order. Through Monte Carlo simulations, the estimation accuracy of the different estimators is evaluated for both the mean and the standard deviation of the CG-LNT distribution. The Mean Squared Error (MSE) as the performance metric.
Citation
zoulikha douiou , ,(2025-05-07), On the Parameter Estimation of CG-LNT Radar Clutter,the first national conference on renewable energies and advanced electrical engineering NC-REAEE'2025,Msila
- 2024-07-09
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2024-07-09
Fractional Negative Order Moment Parameter Estimator of Compound-Gaussian Clutter with Lognormal Texture
parameter estimation of Compound-Gaussian with lognormal texture (CG-LNT) distribution is considered. The CG-LNT distribution is nonGaussian heavy-tailed distribution, it used in radar domain to describe the variation of high-resolution sea clutter. The probability density function (PDF) is characterized by two parameters, the standard deviation and the mean. This paper proposes a closed form estimator of CG-LNT distribution parameters based on fractional negative order moment (FNOME). Comparative study is established against the existing estimators existing in the literature to evaluate the efficiency of the proposed estimator using CG-LNT simulated and real sea clutter data, the mean square error (MSE) criterion is also used to measure the estimation accuracy.
Citation
zoulikha douiou , IZZEDDINE Chalabi , ABDELKADER Djerad , , (2024-07-09), Fractional Negative Order Moment Parameter Estimator of Compound-Gaussian Clutter with Lognormal Texture, PRZEGLĄD ELEKTROTECHNICZNY, Vol:100, Issue:7, pages:42-45, SEP – Polish Electrical Engineers Association (SEP)
- 2023-11-22
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2023-11-22
Performance analysis of parameter estimation for compound Gaussian with log-normal texture clutter in the presence and absence of thermal noise
Abstract— Accurate parameter estimation plays a pivotal role in enhancing radar detection performance. This paper addresses parameter estimation for the CG-LNT (Compound Gaussian with Log-Normal Texture) distribution. The study meticulously examines both situations involving the presence and absence of thermal noise, comparing the performance of estimation methods, HOME (Higher-Order Moments Estimation) , FOME (Fractional Order Moment Estimation), [zlog(z)], and curve fitting, using real radar data. The estimation performance is evaluated by the MSE (Mean Squared Error criterion). The results show the ability of the CG-LNT in presence of thermal noise to model high- resolution sea clutter.
Citation
zoulikha douiou , ,(2023-11-22), Performance analysis of parameter estimation for compound Gaussian with log-normal texture clutter in the presence and absence of thermal noise,2ETA,university mohamed el bachir el ibrahimi of bordj bou arreridj