2017
DOI: 10.3788/ope.20172509.2508
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INS/USBL/DVL information fusion and fault-tolerant verification for underwater vehicles

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Cited by 6 publications
(1 citation statement)
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“…SINS/ultra-short baseline (USBL) integrated navigation systems, which have gradually become a research hotspot, can obtain continuous and high-precision navigation information by correcting SINS output without receiving GNSS signal, which saves time and energy, and ensures the working efficiency of the underwater vehicle [8,9]. Many filtering algorithms have been proposed for navigation and positioning of SINS/USBL systems in underwater environments, such as the Kalman filter (KF) [10,11], the extended Kalman filter (EKF) [12][13][14], the cubature Kalman filter (CKF) [15] and the hybrid derivative-free extended Kalman filter [16].…”
Section: Introductionmentioning
confidence: 99%
“…SINS/ultra-short baseline (USBL) integrated navigation systems, which have gradually become a research hotspot, can obtain continuous and high-precision navigation information by correcting SINS output without receiving GNSS signal, which saves time and energy, and ensures the working efficiency of the underwater vehicle [8,9]. Many filtering algorithms have been proposed for navigation and positioning of SINS/USBL systems in underwater environments, such as the Kalman filter (KF) [10,11], the extended Kalman filter (EKF) [12][13][14], the cubature Kalman filter (CKF) [15] and the hybrid derivative-free extended Kalman filter [16].…”
Section: Introductionmentioning
confidence: 99%