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首页> 外文期刊>Proceedings of the IEEE >Multisensor Navigation Systems: A Remedy for GNSS Vulnerabilities?
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Multisensor Navigation Systems: A Remedy for GNSS Vulnerabilities?

机译：多传感器导航系统：GNSS漏洞的补救措施？

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摘要

Space-based positioning, navigation, and timing (PNT) technologies, such as the global navigation satellite systems (GNSS) provide position, velocity, and timing information to an unlimited number of users around the world. In recent years, PNT information has become increasingly critical to the security, safety, and prosperity of the World's population, and is now widely recognized as an essential element of the global information infrastructure. Due to its vulnerabilities and line-of-sight requirements, GNSS alone is unable to provide PNT with the required levels of integrity, accuracy, continuity, and reliability. A multisensor navigation approach offers an effective augmentation in GNSS-challenged environments that holds a promise of delivering robust and resilient PNT. Traditionally, sensors such as inertial measurement units (IMUs), barometers, magnetometers, odometers, and digital compasses, have been used. However, recent trends have largely focused on image-based, terrain-based and collaborative navigation to recover the user location. This paper offers a review of the technological advances that have taken place in PNT over the last two decades, and discusses various hybridizations of multisensory systems, building upon the fundamental GNSS/IMU integration. The most important conclusion of this study is that in order to meet the challenging goals of delivering continuous, accurate and robust PNT to the ever-growing numbers of users, the hybridization of a suite of different PNT solutions is required.
机译：诸如全球导航卫星系统（GNSS）之类的天基定位，导航和计时（PNT）技术为全球无数用户提供位置，速度和计时信息。近年来，PNT信息对于世界人口的安全，繁荣与繁荣变得越来越重要，现在已被广泛认为是全球信息基础设施的重要组成部分。由于存在漏洞和视线要求，仅GNSS不能为PNT提供所需级别的完整性，准确性，连续性和可靠性。多传感器导航方法可在受到GNSS挑战的环境中提供有效的增强，并有望提供强大而有弹性的PNT。传统上，已经使用了诸如惯性测量单元（IMU），气压计，磁力计，里程表和数字罗盘等传感器。但是，最近的趋势主要集中在基于图像，基于地形和协作导航以恢复用户位置。本文回顾了过去20年中PNT所取得的技术进步，并讨论了基于基本GNSS / IMU集成的多传感器系统的各种混合。这项研究最重要的结论是，为了满足向不断增长的用户提供连续，准确和强大的PNT的挑战性目标，需要将一套不同的PNT解决方案进行混合。

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