Multisensor navigation systems: a remedy for GNSS vulnerabilities?

Grejner-Brzezinska, Dorota A., Toth, Charles K., Moore, Terry, Raquet, John F., Miller, Mikel M. and Kealy, Allison (2016) Multisensor navigation systems: a remedy for GNSS vulnerabilities? Proceedings of the IEEE, 104 (6). pp. 1339-1353. ISSN 0018-9219

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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.

Item Type: Article
Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: GNSS; resilient navigation; sensor integration
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
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Depositing User: Eprints, Support
Date Deposited: 09 May 2016 15:47
Last Modified: 04 May 2020 17:48

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