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Open AccessArticle

Performance Characterization of GNSS/IMU/DVL Integration under Real Maritime Jamming Conditions

1
German Aerospace Center (DLR), Institute of Communications and Navigation, Neustrelitz 17235, Germany
2
BASELABS GmbH, Chemnitz 09126, Germany
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(9), 2954; https://doi.org/10.3390/s18092954
Received: 14 June 2018 / Revised: 3 September 2018 / Accepted: 3 September 2018 / Published: 5 September 2018
(This article belongs to the Special Issue GNSS and Fusion with Other Sensors)
Currently Global Navigation Satellite Systems (GNSSs) are the primary source for the determination of absolute position, navigation, and time (PNT) for merchant vessel navigation. Nevertheless, the performance of GNSSs can strongly degrade due to space weather events, jamming, and spoofing. Especially the increasing availability and adoption of low cost jammers lead to the question of how a continuous provision of PNT data can be realized in the vicinity of these devices. In general, three possible solutions for that challenge can be seen: (i) a jamming-resistant GNSS receiver; (ii) the usage of a terrestrial backup system; or (iii) the integration of GNSS with other onboard navigation sensors such as a speed log, a gyrocompass, and inertial sensors (inertial measurement unit—IMU). The present paper focuses on the third option by augmenting a classical IMU/GNSS sensor fusion scheme with a Doppler velocity log. Although the benefits of integrated IMU/GNSS navigation system have been already demonstrated for marine applications, a performance evaluation of such a multi-sensor system under real jamming conditions on a vessel seems to be still missing. The paper evaluates both loosely and tightly coupled fusion strategies implemented using an unscented Kalman filter (UKF). The performance of the proposed scheme is evaluated using the civilian maritime jamming testbed in the Baltic Sea. View Full-Text
Keywords: maritime navigation; GNSS; GNSS jamming; integrated navigation systems; Kalman filtering; Doppler velocity log; inertial sensors maritime navigation; GNSS; GNSS jamming; integrated navigation systems; Kalman filtering; Doppler velocity log; inertial sensors
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Ziebold, R.; Medina, D.; Romanovas, M.; Lass, C.; Gewies, S. Performance Characterization of GNSS/IMU/DVL Integration under Real Maritime Jamming Conditions. Sensors 2018, 18, 2954.

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