Statistical Analysis of Sea-Clutter using K-Pareto, K-CGIG, and Pareto-CGIG Combination Models with Noise
Author:
Oudira Houcine1, Amar Mezache2, Gouri Amel3
Affiliation:
1. LGE Laboratory university of M'Sila, Department of Electronics, University Mohamed Boudiaf of M'Sila, ALGERIA 2. SISCOM Laboratory university of M'Sila, Department of Electronics, University Mohamed Boudiaf of M'Sila, ALGERIA 3. LASS Laboratory university of M'Sila Department of Electronics, University Mohamed Boudiaf of M'Sila, ALGERIA
Abstract
In this paper, the combinations of two compound Gaussian distributions plus thermal noise for modeling measured polarimetric clutter data are proposed. The speckle components of the proposed models are formed by the exponential distribution, while the texture components are mainly modeled using three different distributions. For this purpose, the gamma, the inverse gamma, and the inverse Gaussian distributions are considered to describe these modulation components. The study involves the analysis of underlying mixture models at X-band sea clutter data, and the parameters of the combination models are estimated using the non-linear least squares curve fitting method. Compared to existing K, Pareto type II, and KK clutter plus noise distributions, experimental results show that the proposed mixture models are well matched for fitting sea reverberation data across various range resolutions.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Computer Networks and Communications,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference20 articles.
1. Billingsley, J.B., Farina, A., Gini, F., Greco, M.V., Verrazzani, L, Statistical Analyses of Measured Radar Ground Clutter Data. IEEE Trans. Aerosp. Electron. Syst., Vol. 35, no. 2, pp. 597-593, 1999. 2. Jahangi, M., Blacknell, D., White, R.G, "Accurate approximation to the optimum parameter estimate for K-distributed clutter". IEE Proc-Radar, Sonar Navig. Vol. 143, no. 6, pp. 383-390, 1996. 3. Balleri, A., Nehorai, A., Wang, J, "Maximum likelihood estimation for compound-Gaussian clutter with inverse gamma texture". IEEE Trans. Aerosp. Electron. Syst. Vol. 43, no. 2, pp. 775-779, 2007. 4. Ollila, E., Tyler, D. E., Koivunen, V., Poor, V "Compound-Gaussian Clutter Modeling with an Inverse Gaussian texture distribution". IEEE Trans. Signal Process. Letter. Vol. 19, no. 12, pp. 876-879, 2012. 5. Mezache, A., Chalabi, I., Soltani, F., Sahed, M, "Estimating the Pareto plus noise distribution parameters using non-integer order moments and [zlog(z)] approaches". IET Radar. Sonar. Navig. Vol. 10, no. 1, pp. 192- 204, 2016.
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