Intelligent prediction data processing method for electromagnetic fields in marine domain

Aiming at the problems of large electromagnetic field simulation computation and low multi-source data processing efficiency in ship radar design, an intelligent prediction data processing method for electromagnetic fields in the marine domain is proposed. This method realizes a deep fusion and a format adaptation of multi-source data by collaboratively processing electromagnetic field data, radar data, geometric data, and material attribute data through multiple modules, providing structured input for deep learning models. Experimental results show that this method can effectively improve the accuracy and efficiency of ship electromagnetic field prediction, providing strong support for the optimal design of radar systems.