Entropy Measure of Generating Random Rough Surface for Numerical Simulation of Wave Scattering

Numerical simulation of random rough surface finds wide applications in scientific disciplines, e.g., radar remote sensing terrain and sea. In scattering surface, not only energy conservation must be ensured, but also, perhaps equally important, the inherent properties preserved. However, proper choice grid sizes that are statistically representative poses a problematic issue. This study applied entropy measure to determine such parameter settings by examining relative error sample associated with roughness parameters noticing fact certain parameters, including power spectrum density function, have unique entropy. It is found if two criteria met, length size attainable warrant minimum uncertainties surfaces maximum information content for different spectra functions under correlation lengths. The feasibility superiority proposed entropy-based method validated terms also bistatic coefficients generated using obtained parameters.