{"title":"Fractal theory of sea scattering","authors":"F. Berizzi, E. Mese","doi":"10.1109/ICR.1996.574569","DOIUrl":null,"url":null,"abstract":"We introduce a new dynamic model of the sea surface, based on the fractal Weirstrass-Mandelbroot functions. By using this model, we give a closed form of the scattering coefficient. We show that the scattering coefficient, as a function of time, is a fractal function with the same fractal dimension of the sea surface model. This conclusion is validated by a number of numerical computations, discussed in the paper. The results of the paper can be used as a starting point to give a theoretical development to such problems as: (1) detection theory in a clutter environment by using the fractal dimension of the received signal; (2) theoretical justification of the statistical models which describe the sea clutter for high spatial resolution radar as Weibull or K-distributions; and (3) classification theory of different radar signals based on fractal parameters as the dimension and auto-affinity degree.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.1996.574569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We introduce a new dynamic model of the sea surface, based on the fractal Weirstrass-Mandelbroot functions. By using this model, we give a closed form of the scattering coefficient. We show that the scattering coefficient, as a function of time, is a fractal function with the same fractal dimension of the sea surface model. This conclusion is validated by a number of numerical computations, discussed in the paper. The results of the paper can be used as a starting point to give a theoretical development to such problems as: (1) detection theory in a clutter environment by using the fractal dimension of the received signal; (2) theoretical justification of the statistical models which describe the sea clutter for high spatial resolution radar as Weibull or K-distributions; and (3) classification theory of different radar signals based on fractal parameters as the dimension and auto-affinity degree.