航空通信数据结构鲁棒性检测方法研究与仿真  

Aviation Communication System Data Structure Robustness and Simulation Test Method Research

作　　者：张艳红[1] 

机构地区：[1]首都经济贸易大学,北京101500

出　　处：《计算机仿真》2014年第5期42-45,共4页Computer Simulation

摘　　要：由于复杂环境下运行的综合航电系统软硬件组合易受到资源故障和组件失效影响而导致鲁棒性变化。已有的鲁棒性检测方法是以系统的实际性能指数为基础,后发性地进行检测,在检测的同时也会对系统的性能产生负面影响,缺少预判性。为提高通信性能,提出一种大型航空通信系统数据结构鲁棒性检测方法。将模糊数学模型引入到大型航空通信系统数学结构鲁棒性检测过程中,根据不同因子的模糊边界,对系统数据结构相关事务进行有效的预测。利用概率鲁棒分析方法,完成系统数据结构鲁棒性检测。实验结果表明,利用上述算法进行大型航空通信系统数据结构鲁棒性检测,能够提高检测的准确性。Integrated avionics system software and hardware running under the complex environment is susceptible to resources fault and the influence of component failure, causing to changes in robustness. For this, the paper put forward an algorithm based on probabilistic robustness analysis of large aviation communication system robustness test method of data structure. Large aviation communication system was introduced to the fuzzy mathematical model of the mathematical structure robustness testing process. According to the different factors of fuzzy boundaries, an effective prediction of system data structure related affairs was carried out. Using the method of probabilistic robustness analy- sis, the system robustness testing data structure was completed. The experimental results show that the algorithm can improve the accuracy of detection.

关 键 词：航空通信系统 鲁棒性检测 系统数据结构 模糊数学模型 

分 类 号：F127[经济管理—世界经济]