卡尔曼预测及姿态补偿算法研究及在机载天线稳定跟踪系统扰动隔离应用

为集中展示校园风貌和文化氛围,基于Creator和Vega平台实现了自动导航寻径的虚拟校园漫游系统。结合校园建筑特点,引入面向对象思想并应用有向无环树状图组织场景数据,实现了对虚拟场景的层次化管理。在建模阶段,利用不同精度的纹理贴图生成不同精度的模型,给出了支持LOD的快速建模方法。在漫游导航中,通过鼠标拾取实时显示虚拟物体的属性信息,运用方向优先的Dijkstra算法查找最短路径并实现漫游导航功能。在普通PC上测试,无论是单个模型的渲染效率还是系统的整体性能,场景的逼真度和浏览的顺畅性都较为理想,体现出人机工程顺畅和自然的特征。

Study of Algorithm Based on Kalman filter and Attitude Compensation and Its Application in Insulating Carrier Turbulence of Airborne Antenna Tracking System[JZ)][HS)]

In order to show the campus landscape and cultural atmosphere, this paper designs virtual campus roaming system based on Creator and Vega platform. This paper introduces the object oriented thought organization scene data combining with the characteristics of campus buildings, and realized the hierarchical management of virtual scene. In the modeling stage, the system uses different accuracy of texture mapping to generate different precision model, given fast modeling method for supporting LOD. In the navigation, the system can display the attribute information of the virtual object by clicking mouse, and find the shortest path by using the Dijkstra algorithm. By testing on PC, the scene fidelity and view fluency is ideal no matter in rendering efficiency or overall system efficiency.