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Architecture for asymmetric collaborative navigation

机译:非对称协同导航的架构

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Under the Air Force Research Laboratory (AFRL) Collaborative Robust Integrated Sensor Positioning (CRISP) program, Northrop Grumman Corporation (NGC) is designing and building a collaborative navigation system for multiple airborne platforms. The collaborative navigation architecture has been designed to take advantage of AFRL's Layered Sensing construct which enables platforms to share information. In particular, the ability to share GPS, relative range, imagery, geo-registered maps, and other measurements opens up many opportunities to improve the navigational accuracy and the robustness to GPS-denied conditions. In the CRISP program, the collaborative navigation system is being designed to be more robust and accurate by leveraging the asymmetry in the sensing, computation, and communication capabilities of disparate platforms. For example, the system takes advantage of higher performing sensors on the high-flyer (HF) platform, which are less susceptible to jamming, and cameras that generate larger sensor footprint and higher resolution images of the terrain. The low-flyers (LFs) have poorer navigation sensors, are more likely to be jammed, and have a more limited view of the terrain. Under this scenario, the HF may assist one or more LFs such that they, too, can have similar accuracy as the HF in a GPS-denied environment.
机译:根据空军研究实验室(AFRL)的协作鲁棒集成传感器定位(CRISP)计划,诺斯罗普·格鲁曼公司(NGC)正在设计和构建用于多个机载平台的协作导航系统。协作导航架构的设计旨在利用AFRL的分层传感构造,该构造使平台可以共享信息。特别是,共享GPS,相对范围,图像,地理注册地图和其他测量值的能力为改善导航精度和对GPS拒绝条件的鲁棒性打开了许多机会。在CRISP程序中,通过利用不同平台的感测,计算和通信功能中的不对称性,协作导航系统被设计为更加健壮和准确。例如,该系统利用了不易受干扰影响的高飞行(HF)平台上性能更高的传感器,以及可生成更大传感器覆盖区和更高分辨率地形图像的相机。低空飞行器(LF)的导航传感器较差,更容易被卡住,并且对地形的视野更有限。在这种情况下,HF可以辅助一个或多个LF,以便它们在GPS拒绝的环境中也可以具有与HF相似的精度。

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