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A SINS/DVL integrated navigation positioning method based on improved adaptive filtering technology

  • School of Information Science and Engineering, Harbin Institute of Technology Weihai
  • China State Shipbuilding Corporation
  • Shandong Institute of Shipbuilding Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the random drift of the gyro, the use of SINS alone will cause the navigation error to gradually divergence with time in the design of the SINS/DVL integrated navigation system. The speed information using the DVL output can only suppress the divergence of the SINS navigation error to a certain extent which will result in low positioning accuracy. This paper proposes a SINS/DVL integrated navigation positioning method based on improved adaptive filtering technology in view of the error source of SINS and the influence mechanism of positioning results. This system selects the indirect filtering method and uses the integrated navigation error model to model the navigation parameters of the system. Then, the adaptive gain filtering method is proposed by using the filter gain compensation proposed in this paper based on the error characteristics of the navigation parameters. The navigation parameters of the system are filtered and the error information of the navigation parameters is obtained. Finally, integrated with the navigation parameter error information, the navigation parameters of the system are solved, and the high-precision navigation results are obtained to achieve accurate positioning of underwater objects. The experimental and evaluation results show that the SINS/DVL integrated navigation positioning method based on the filter gain compensation improved adaptive filtering technology can effectively improve the positioning accuracy.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Smart Internet of Things, SmartIoT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages262-268
Number of pages7
ISBN (Electronic)9781728134888
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019 - Tianjin, China
Duration: 9 Aug 201911 Aug 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Smart Internet of Things, SmartIoT 2019

Conference

Conference3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019
Country/TerritoryChina
CityTianjin
Period9/08/1911/08/19

Keywords

  • Adaptive Filter
  • Integrated Navigation
  • Kalman
  • SINS

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