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Sensors 2017, 17(9), 2030;

An IMM-Aided ZUPT Methodology for an INS/DVL Integrated Navigation System

Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
Author to whom correspondence should be addressed.
Received: 13 July 2017 / Revised: 21 August 2017 / Accepted: 31 August 2017 / Published: 5 September 2017
(This article belongs to the Special Issue Inertial Sensors for Positioning and Navigation)
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Inertial navigation system (INS)/Doppler velocity log (DVL) integration is the most common navigation solution for underwater vehicles. Due to the complex underwater environment, the velocity information provided by DVL always contains some errors. To improve navigation accuracy, zero velocity update (ZUPT) technology is considered, which is an effective algorithm for land vehicles to mitigate the navigation error during the pure INS mode. However, in contrast to ground vehicles, the ZUPT solution cannot be used directly for underwater vehicles because of the existence of the water current. In order to leverage the strengths of the ZUPT method and the INS/DVL solution, an interactive multiple model (IMM)-aided ZUPT methodology for the INS/DVL-integrated underwater navigation system is proposed. Both the INS/DVL and INS/ZUPT models are constructed and operated in parallel, with weights calculated according to their innovations and innovation covariance matrices. Simulations are conducted to evaluate the proposed algorithm. The results indicate that the IMM-aided ZUPT solution outperforms both the INS/DVL solution and the INS/ZUPT solution in the underwater environment, which can properly distinguish between the ZUPT and non-ZUPT conditions. In addition, during DVL outage, the effectiveness of the proposed algorithm is also verified. View Full-Text
Keywords: INS/DVL integrated navigation system; IMM; dynamic ZUPT; underwater navigation INS/DVL integrated navigation system; IMM; dynamic ZUPT; underwater navigation

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Yao, Y.; Xu, X.; Xu, X. An IMM-Aided ZUPT Methodology for an INS/DVL Integrated Navigation System. Sensors 2017, 17, 2030.

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