用于无人机车辆的轻型GNSS/IRS综合导航系统

E. Petritoli, Tonino Giagnacovo, F. Leccese
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引用次数: 35

摘要

新型传感器的出现使得惯性系统比以往任何时候都更小、更轻:由于它们的体积小、成本低、功耗低,它们可以安装在无人机系统等飞行平台上,以提高自主导航的可靠性。通过卡尔曼滤波将惯性参考系统(IRS)和GNSS数据合并,在精度和完整性方面显著提高了自主导航性能。本文主要研究了惯性参考系统集成GNSS的方法、技术及其在无人机自主导航系统中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lightweight GNSS/IRS integrated navigation system for UAV vehicles
The advent of new sensors allows to create smaller and lighter inertial systems than ever before: thanks to their compact size, low cost and low power consumption, they can be installed on flying platforms such as UAV systems, to improve the reliability of autonomous navigation. The merging of the Inertial Reference System (IRS) and GNSS data through the Kalman filter gives a significantly improve to the autonomous navigation performance both in terms of accuracy and integrity. This paper is focused on the methods and techniques of GNSS integrated with an Inertial Reference System and their applications in UAV autonomous navigation systems.
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