专用的视线稳定和定位算法

L. Davain, S. Fabien, T. Erler
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引用次数: 2

摘要

用于光电系统的陀螺稳定平台使用惯性系统实现3个主要功能:视线稳定,视线定向和目标地理定位。这三种能力要求惯性传感器具有不同的特性和性能:低噪声传感器和低噪声导航计算。由于精度是由GNSS提供的,因此高档传感器对这些应用没有用处。中等等级的传感器就足够了(这有利于产品成本),但需要专门的算法。本文将说明萨基姆如何使用FOG&VBA IMU和专用算法来补偿剩余传感器误差来解决这些问题。本文将描述一个典型的光电平台的功能架构和这种架构的主要问题。在第二部分中,我们将描述萨基姆高性能系统的解决方案。最后,我们将展示稳定化,定向和定位功能的第一次评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dedicated algorithm for line of sight stabilization and orientation
Gyro Stabilized Platform for Optronic Systems uses inertial system for 3 mains functions: line of sight stabilization, line of sight orientation and target geo-localization. These three capabilities require different characteristics and performances from the inertial sensors: low noise sensors and low noise navigation computation. High grade sensors are not useful for these applications since precision is provided by GNSS. Intermediate grade sensor are sufficient (which benefits to product cost), but induce dedicated algorithm. This paper will illustrates how Sagem addresses these topics using FOG&VBA IMU, and dedicated algorithm in order to compensate residual sensor error. This paper will describe the typical functional architecture of an optronic platform and the main issue of such architecture. In a second part, we will describe Sagem solution for high performance system. Finally, we will show the first evaluation of stabilization, orientation and localization function.
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