基于射线追踪方法的电离层点对点传播问题研究

      Research on ionospheric point-to-point propagation based on ray tracing method

      • 摘要: 短波通信和电离层斜向探测本质上都属于点对点传播问题,即固定收发站之间的传播问题,而点对点传播问题的本质是在发射点搜索出合适的仰角和方位角来实现射线的自动导引。射线追踪一直是研究高频波传播现象的工具,基于射线追踪的自导引技术可以实现点对点传播,但不同电离层模型对点对点传播的轨迹和精度会有影响。本文将基于数值射线追踪,利用牛顿自导引技术构建点对点传播模型,研究在分段准抛物 (quasi parabolic segments, QPS)电离层模型以及国际参考电离层(International Reference Ionosphere, IRI)模型这两种不同电离层模型下点对点传播算法的稳健性和精确性问题。结果表明,在两种模型下本文算法均有较高的稳健性,但是QPS电离层模型下具有更快的运行速度,而IRI模型下有更高的精确性。

         

        Abstract: Shortwave communication and ionospheric oblique detection are essential point-to-point propagation problems, that is, the propagation problems between fixed transceiver stations. The essence of the point-to-point propagation problem is to search for the appropriate elevation and azimuth angles at the emission point to achieve homing of the ray. Ray tracing has always been a tool for studying high-frequency wave propagation phenomena. Homing technology based on ray tracing can accurately realize point-to-point propagation. However, different ionospheric models will have an impact on the trajectory and accuracy of point-to-point propagation. This article builds a point-to-point propagation model based on numerical ray tracing and use Newton Homing technologyes to study the two models: the quasi parabolic segments ionosphere (QPS) model and the International Reference Ionosphere (IRI) model. It also discusses the robustness and accuracy of the algorithm under different ionospheric models. The results show that the algorithm has high robustness under both models, but the QPS model has faster running speed, while the algorithm has higher accuracy under the IRI model.

         

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