哈尔滨工程大学学报2023，Vol.44Issue(11)：1857-1868,12.DOI:10.11990/jheu.202309054
全球导航卫星系统-声呐组合观测模型分类体系
Global navigation satellite system-acoustic combined observation model classification system
摘要
Abstract
This paper reviews the development of the global navigation satellite system(GNSS)-acoustic observa-tion 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 direc-tions 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 environ-mental parameters and further improve the seafloor positioning accuracy.关键词
海底大地测量/全球导航卫星系统/声呐/水下定位/参考声速/声速误差/补偿模型/声速场反演/天顶延迟/参数估计Key words
seafloor geodesy/global navigation satellite system/sona/underwater positioning/reference sound speed/sound speed error/compensation model/inversion of sound speed field/zenith delay/parameter estimation分类
测绘与仪器引用本文复制引用
薛树强,杨元喜,肖圳,赵爽,李保金..全球导航卫星系统-声呐组合观测模型分类体系[J].哈尔滨工程大学学报,2023,44(11):1857-1868,12.基金项目
国家自然科学基金项目(41931076) （41931076）
崂山实验室科技创新项目(LSKJ202205100,LSKJ202205105). （LSKJ202205100,LSKJ202205105）
