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Statistical Characteristics of Microwave Signals Scattered from a Randomly Rough Surface

机译:从随机粗糙表面散射的微波信号的统计特性

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This paper is an investigation of the statistical characteristics of the amplitude of signals scattered from a randomly rough surface. When the area of illumination and the grazing angles are large the amplitude of scattered signals are found to obey Rayleigh statistics. On the other hand, when the grazing angles are very small and the resolution size is small it has been found Lognormal statistics form a good fit. However, in the intermediate domain we find that no particular distribution has overall best fit. The conclusion is based on a statistical analysis of the simulated data generated by rigorous rough surface scattering analysis along with Monte Carlo simulation of sample surfaces. The scattering calculations are based on integral equation formulation of scattering and are solved using method of moments.

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