Modeling monostatic sea clutter at low grazing angles by using method of moments

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2021-2-15

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Özbaş, Emre

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Scatteringof electromagnetic waves from rough surfaces such as sea surface isanimportantproblem for radarengineers,since aradardeviceshould discriminate returns from the desired object(target)from those scattered by theundesired object, which is rough sea surface studied in this work. Since the sea surface is randomly changing with time for varyingwind speeds, sea clutter problem becomes a stochastic problem. The main goal of this thesis is obtaining a model to calculate the backscattered power from rough sea surfaces at different environmental conditions for different radarparameters by using the Method of Moments(MoM)and Monte Carlo method. In the Monte Carlo approach, a set of randomly generated two-dimensional sea surfaces from two types of sea surface spectrumsare used. Then, backscatter power calculations are obtainedfor each sea surfacetocalculate statistical results. Finally, by using the results obtained from this model, a comparative analysis with the empirical and statistical models in literature iscarried out. It is concluded thatan accurate and flexible sea clutter model for amplitude characterization is obtained which has a good agreement with the existing models.

Subject Keywords

Sea clutter, Method of Moments, Monte Carlo Method, Radar Cross Section, NRL model, Weibull Distribution

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https://hdl.handle.net/11511/89556

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

E. Özbaş, “Modeling monostatic sea clutter at low grazing angles by using method of moments,” M.S. - Master of Science, Middle East Technical University, 2021.