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    空地协同分布交互仿真中DR算法研究

    RESEARCH ON DEAD RECKONING ALGORITHMS IN DISTRIBUTED AIR GROUND INTERACTIVE SIMULATION SYSTEMS

    • 摘要: 推算定位 (dead reckoning,DR)技术是大型分布交互仿真 (DIS)系统的关键技术 ,在研究传统的一阶、二阶和高阶 DR算法基础上 ,针对民航飞行、领航和地面管制综合训练的空 -地协同分布交互仿真系统 (DAGIS) ,提出了基于模型的 DR算法 (MBDR) ,探讨一种自适应模型转换方法和动态门限选取问题 ,比常规 DR算法更好地压缩了网络通信量 .讨论了与 DR算法相关的平滑和延时补偿问题 .在构造的 DAGIS实验系统上进行测试 ,取得了较好的效果 .

       

      Abstract: Dead reckoning (DR) technique is very important to large scale distributed interactive simulation (DIS) systems. The general linear and high order DR algorithms are discussed in this paper. A new model based DR (MBDR) technique is proposed to achieve great reduction of communication loads for the wide area of distributed air ground interactive simulation system (DAGIS). An adaptive model transition method and dynamic selection of DR thresholds are discussed. Smoothing and delay compensation algorithms are also introduced. All the techniques are applied in the DAGIS experimental system and the results are encouraging.

       

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