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首页> 外文会议>AIAA Guidance, Navigation and Control Conference Pt.3, Aug 1-3, 1994, Scottsdale, AZ >High Altitude Navigation with Passive Imaging Sensors
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High Altitude Navigation with Passive Imaging Sensors

机译：被动成像传感器进行高空导航

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A major portion of a strategic weapon's effectivenes depends fundamentally on the accuracy of its navigation system. The most prevalent navigation systems have been inertial. However, inertial navigation systems, either gimballed or strapdown, can be complex and very expensive. In addition, inertial instruments with moving or rotating internal parts are difficult to maintain and service given the strong emphasis on reliability and precision. Thus, it is desirable to relax the reliance on highly complex inertial units to improve cost effectiveness while retaining navigation accuracy due to external updates. The advances in imaging sensors and computing capability makes it feasible to conceive a passive imaging based navigation update system. The fundamental basis for extracting navigation information from an image is provided by the fact that image pixel motion is directly linked through the image formation process to ownship and scene motion. Angular rates of roll, pitch, and yaw can in turn be derived as well as depth-scaled transla-tional velocity information. We have drawn upon past and ongoing contractual work and research at AGNC to investigate the feasibility of deriving navigation information from passive imagery for high altitude related flight parameters and viewing geometries. In this paper two key algorithms are examined as to their potential to provide the desired solution.
机译：战略武器有效性的主要部分从根本上取决于其导航系统的准确性。最流行的导航系统是惯性的。然而，惯性导航系统，无论是万向节式还是捷联式，都可能很复杂且非常昂贵。此外，由于高度重视可靠性和精度，带有移动或旋转内部零件的惯性仪器很难维护和维修。因此，期望放宽对高度复杂的惯性单元的依赖以提高成本效益，同时由于外部更新而保持导航精度。成像传感器和计算能力的进步使得构思基于被动成像的导航更新系统变得可行。从图像中提取导航信息的基本基础是这样的事实，即图像像素运动通过图像形成过程直接链接到所有权和场景运动。反过来，可以得出滚动，俯仰和偏航的角速度以及深度缩放的平移速度信息。我们借鉴了AGNC过去和正在进行的合同工作和研究，以研究从被动图像中获取导航信息的可行性，以获取与高空有关的飞行参数并查看几何形状。在本文中，对两种关键算法进行了研究，以探讨它们提供所需解决方案的潜力。

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