基于有限实测数据的环境电参数表征方法研究

Research on the representation of environmental electrical parameters based on limited measured date

针对射线追踪算法环境适应性差的问题,提出了一种基于有限实测数据的环境电参数表征方法。将遗传算法与射线追踪算法相结合,基于在目标环境中有限区域外场实验的测试数据,给出仿真环境最适电参数,提高射线追踪算法在此场景下的预测精度。仿真结果表明,该方法在节约大量外场测试时间的基础上,有效提高射线追踪算法的环境适应性,为电磁环境态势感知等工作的高效开展提供了一种可靠方法。

Aiming at the problem of low environmental adaptability of ray-tracing algorithm,a characteriza-tion method of environmental electrical parameters based on limited measured data is proposed.Genetic algorithm and ray-tracing algorithm are combined.Based on the test of field data in a limited area,the optimal electrical pa-rameters of the target environment are given which improve the prediction accuracy of the ray-tracing algorithm in this scenario.The simulation results show that this method saves a lot of time in field test on the basis of improv-ing the adaptability of the ray-tracing algorithm.In general,a reliable method is provided for the efficient develop-ment of electromagnetic environment situational awareness.