In response to the structural dynamics optimization design requirements of a certain satellite-borne precipitation radar, based on finite element analysis, the Kriging surrogate model is used to approximate the finite element model of the satellite-borne precipitation radar. The improved genetic algorithm is then employed to optimize the honeycomb panel structure parameters, resulting in a better design solution. Finally, the effectiveness of this method is demonstrated through a case study of the structural dynamics optimization design of a certain satellite-borne precipitation radar and mechanical experiments.