Global navigation satellite system-acoustic combined observation model classification system

被引:0
作者
Xue S. [1 ,2 ]
Yang Y. [2 ]
Xiao Z. [1 ]
Zhao S. [1 ,2 ]
Li B. [1 ]
机构
[1] Institute of Geodesy and Navigation Positioning, Chinese Academy of Surveying & Mapping, Beijing
[2] State Key Laboratory of Geo-Information Engineering, Xi′an Research Institute of Surveying and Mapping, Xi′an
来源
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2023年 / 44卷 / 11期
关键词
compensation model; global navigation satellite system; inversion of sound speed field; parameter estimation; reference sound speed; seafloor geodesy; sona; sound speed error; underwater positioning; zenith delay;
D O I
10.11990/jheu.202309054
中图分类号
学科分类号
摘要
This paper reviews the development of the global navigation satellite system (GNSS)-acoustic observation model in the seafloor geodesy over the past two decades. With a focus on the processing of sound speed errors, the classification system of the GNSS-acoustic observation models is presented, and these models are summarized according to the functional and stochastic models and constraint conditions. In addition, future development directions are discussed. It shows that the range-based positioning models do not need an in-field sound velocity profile measurement, but they must address effective parameterization estimation or correction of the vertical gradient effect of sound velocity. The seafloor geodesy is more concerned with the impact of spatiotemporal variations in the sound speed on observations. Thus, we recommend using an error compensation model for the sound speed field and an indirectly estimated model for sound speed field parameters. There are similar common-mode environmental error features in the seafloor local network arrays; thus, the seafloor arrays can enhance the estimation of ocean environmental parameters and further improve the seafloor positioning accuracy. © 2023 Editorial Board of Journal of Harbin Engineering. All rights reserved.
引用
收藏
页码:1857 / 1868
页数:11
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