A Quadratic Interpolation-Based Variational Bayesian Algorithm for Measurement Information Lost in Underwater Navigation
Joint Authors
Zhang, Xiaoguo
Zhang, Tingting
Yang, Yuan
Tang, Jiacheng
Huang, Haoqian
Kuang, Yujin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The main challenges of sequential estimations of underwater navigation applications are the internal/external measurement noise and the missing measurement situations.
A quadratic interpolation-based variational Bayesian filter (QIVBF) is proposed to solve the underwater navigation problem of measurement information missing or insufficiency.
The quadratic interpolation is used to improve the observed vector for the precision and stability of sequential estimations when the environment is changed or the measurement information is lost.
The state vector, the predicted error covariance matrix, and the measurement noise matrix are derived based on the variational Bayesian method.
Simulation results demonstrate the superiority of the proposed QIVBF compared with the traditional algorithm under the condition of measurement information lost by autonomous underwater vehicles.
American Psychological Association (APA)
Yang, Yuan& Tang, Jiacheng& Huang, Haoqian& Zhang, Xiaoguo& Zhang, Tingting& Kuang, Yujin. 2020. A Quadratic Interpolation-Based Variational Bayesian Algorithm for Measurement Information Lost in Underwater Navigation. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1197086
Modern Language Association (MLA)
Yang, Yuan…[et al.]. A Quadratic Interpolation-Based Variational Bayesian Algorithm for Measurement Information Lost in Underwater Navigation. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1197086
American Medical Association (AMA)
Yang, Yuan& Tang, Jiacheng& Huang, Haoqian& Zhang, Xiaoguo& Zhang, Tingting& Kuang, Yujin. A Quadratic Interpolation-Based Variational Bayesian Algorithm for Measurement Information Lost in Underwater Navigation. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1197086
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197086