An Adaptive Adjustment Algorithm for Scattering Units of GNSS Ocean Reflected Signals

The Global Navigation Satellite System (GNSS) reflected signals change with the physical characteristics of the reflected surface, which are different from GNSS signals. Therefore, the reflected signals are suitable in remote sensing field. The simulation of GNSS reflected signals is a branch of GNSS Reflectometry (GNSS-R). In most of the previous studies, the scattering area is solidified and equally spaced and the amount of calculation will increase. In this paper, the influence of different scene configurations on the size of the scattering unit is analyzed, and an adaptive adjustment algorithm for the scattering unit is proposed by using RBF neural network model, which can adjust adaptively according to the scene configuration parameters. The proposed algorithm meets the requirements in accuracy and takes only 0.09 of the theoretical model time. On the basis of ensuring the simulation accuracy of the model, the calculation efficiency is greatly improved.