A Mismatch Correction Method Based on Two-Way Strategies of Spatial Vector Feature

Zixuan Ma, Bo Wang, Ran Bi

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

Abstract

Gravity matching method is the core technology in gravity aided inertial navigation system (GAINS). The single point filter matching algorithm is widely used in underwater navigation owing to its high accuracy and real-time performance. However, due to gravity measurement errors, the mismatch points may occur and cause large position errors. In order to improve the matching accuracy, a mismatch correction method based on two-way strategies of spatial vector feature is proposed. Based on the spatial vector characteristics of the gravity field, two-way strategies of scale constraint and direction constraint is applied to detect the outliers. Vector median filtering correction method is applied to calculate the accompanied matching points. The affine transformation method with least squares optimization parameters is adopted to smooth the corrected trajectory. Simulation results show that the proposed method can effectively suppress the spatial position error and improve the position accuracy.

Original languageEnglish
Title of host publication2024 IEEE 18th International Conference on Control and Automation, ICCA 2024
PublisherIEEE Computer Society
Pages573-578
Number of pages6
ISBN (Electronic)9798350354409
DOIs
Publication statusPublished - 2024
Event18th IEEE International Conference on Control and Automation, ICCA 2024 - Reykjavik, Iceland
Duration: 18 Jun 202421 Jun 2024

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference18th IEEE International Conference on Control and Automation, ICCA 2024
Country/TerritoryIceland
CityReykjavik
Period18/06/2421/06/24

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