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Multisensor navigation systems: a remedy for GNSS vulnerabilities?

Grejner-Brzezinska, Dorota A.; Toth, Charles K.; Moore, Terry; Raquet, John F.; Miller, Mikel M.; Kealy, Allison

Multisensor navigation systems: a remedy for GNSS vulnerabilities? Thumbnail


Dorota A. Grejner-Brzezinska

Charles K. Toth

Terry Moore

John F. Raquet

Mikel M. Miller

Allison Kealy


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.

Journal Article Type Article
Acceptance Date Jan 30, 2016
Online Publication Date Mar 25, 2016
Publication Date Jun 1, 2016
Deposit Date May 9, 2016
Publicly Available Date May 9, 2016
Journal Proceedings of the IEEE
Print ISSN 0018-9219
Electronic ISSN 0018-9219
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 104
Issue 6
Pages 1339-1353
Keywords GNSS; resilient navigation; sensor integration
Public URL
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