Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method-Reference-Cited by-同舟云学术

Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method

Published:2023 Issue: Volume:72 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhao Shijie¹^ORCID,Zheng Wei²^ORCID,Li Zhaowei³^ORCID,Zhu Huizhong⁴^ORCID,Xu Aigong⁴^ORCID

Affiliation:

1. Institute of Intelligence Science and Optimization, Liaoning Technical University, Fuxin, China

2. Advanced Detection and Information Center, Liaoning Technical University, Fuxin, China

3. Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing, China

4. School of Geomatics, Liaoning Technical University, Fuxin, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

National Key Research and Development Plan Key Special Projects of Science and Technology Military Civil Integration

Key Project of Science and Technology Commission of the Central Military Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10032266.pdf?arnumber=10032266

Reference26 articles.

1. Matching error of the iterative closest contour point algorithm for terrain-aided navigation

2. A Characteristic Parameter Matching Algorithm for Gravity-Aided Navigation of Underwater Vehicles

3. Research on the Relative Positions-Constrained Pattern Matching Method for Underwater Gravity-Aided Inertial Navigation

4. A Mismatch Diagnostic Method for TERCOM-Based Underwater Gravity-Aided Navigation

5. Gravity matching navigation algorithm based on multiscale search and Hadamard transformed difference

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