AUV Underwater Positioning Algorithm Based on Interactive Assistance of SINS and LBL

Sensors

Tao Zhang¹  Liping Chen¹  Yao Li¹ 

[1] Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing 210096, China;

关键词: LBL;    TDOA;    underwater positioning;    information fusion;   

DOI  :  10.3390/s16010042

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.