title: AUV Underwater Positioning Algorithm Based on Interactive Assistance of SINS and LBL.
abstract: This paper studies an underwater positioning algorithm based on the interactive assistance of a strapdown inertial navigation system (SINS) and LBL, and this algorithm mainly includes an optimal correlation algorithm with aided tracking of an SINS/Doppler velocity log (DVL)/magnetic compass pilot (MCP), a three-dimensional TDOA positioning algorithm of Taylor series expansion and a multi-sensor information fusion algorithm. The final simulation results show that compared to traditional underwater positioning algorithms, this scheme can not only directly correct accumulative errors caused by a dead reckoning algorithm, but also solves the problem of ambiguous correlation peaks caused by multipath transmission of underwater acoustic signals. The proposed method can calibrate the accumulative error of the AUV position more directly and effectively, which prolongs the underwater operating duration of the AUV.
authors.affiliation: Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing 210096, China. 101011356@seu.edu.cn.|School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China. 101011356@seu.edu.cn.
authors.forename: Tao
authors.initials: T
authors.lastname: Zhang
authors.affiliation: Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing 210096, China. 220132597@seu.edu.cn.|School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China. 220132597@seu.edu.cn.
authors.forename: Liping
authors.initials: L
authors.lastname: Chen
authors.affiliation: Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing 210096, China. liyao@seu.edu.cn.|School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China. liyao@seu.edu.cn.
authors.forename: Yao
authors.initials: Y
authors.lastname: Li
keywords: LBL; TDOA; information fusion; underwater positioning