SMP2标准的原始数据生成模型框架分析

Analysis of Model Framework of Raw Data Generation Based on SMP2

原始数据生成(RDG)是导航系统设计验证的重要组成部分。由其生成的数据可进行导航系统链路预算和误差预算,也可用来对完好性处理工具(IPF)和轨道与同步处理工具(OS-PF)的算法进行调整和确认。然而原始数据生成涉及到如天文地理、物理学等多学科领域的模型,不同模型之间的接口关系十分复杂,使得将这些模型集成并实现仿真验证功能变得十分困难,也难以有效实现仿真模型的可重用性和可移植性。基于SMP2标准的仿真系统设计开发方法能有效地解决上述问题,文章介绍了原始数据生成的概念,并在面向对象分析的基础上,提出了基于SMP2规范的模型集成开发的方法和步骤。

Raw data generation (RDG) is one of the important components in design of navigation system. Datum produced from RDG are used in linked budget and error budget, and also used in validation and tuning of OSPF and IPF algorithms. But the models of RDG involve multidisciplinary, such as astronomy, geography, physics and so on. The relations of interfaces between models are complex, so it is difficult to integrate effectively and implement the reuse of models and portability of models. To design and develop the simulation system based on SMP2 can resolve the problems mentioned above. This paper introduces the concept of RDG, and proposes the method and steps for integration based on SMP2.