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作 者:林挺 刘真汉 沙凯 马新尧 LIN Ting;LIU Zhenhan;SHA Kai;MA Xinyao
出 处:《现代导航》2024年第4期261-267,共7页Modern Navigation
基 金:舟山市科技计划项目(2021C11025)。
摘 要:海洋存在温度、盐度突变的海水跃层,会大幅改变海水浮力导致水下潜航器急剧下沉或上浮造成巨大危害,因此温度、盐度和深度数据是潜航器在水下导航的重要环境参数,已越来越多地被应用于潜航器的水下多源融合导航。近年来随着水下导航精度的不断提升,对温盐深数据的精度要求也越来越高,而提高传感器及采集电路的稳定性与精度、优化数据标定方法是保障数据精度的关键。传统温盐深数据采集与标定方法存在稳定性差、精度低等缺点,因此提出了一种基于最小二乘法的温盐深数据采集与标定方法,旨在提高测量精度的同时降低成本与设计难度,便于产品的工程实现。相比传统方法,本方法精度提升1个数量级,达到JJG 763-2019的一级计量要求。The ocean exists pycnocline characterized by abrupt variations in temperature and salinity,exerting significant hazards of rapid sinking or floating of underwater vehicles.Consequently,Conductivity-Temperature-Depth(CTD)data serve as vital environmental parameters for submarine navigation.These factors are increasingly utilized in the multi-sensor fusion navigation for underwater vehicles.Recently,the increasing accuracy of underwater navigation techniques introduces a growing demand for enhanced precise detection in CTD data.The necessitates enhancing the stability and accuracy of sensors and acquisition circuits,as well as optimizing data calibration methods.Traditional methods of collecting and calibrating CTD data are plagued by inadequate stability and low accuracy.To address these issues,a CTD data acquisition and calibration method based on the least squares approach is presented.The objective of the paper aims to enhance the measurement accuracy of CTD data,while simultaneously minimizing costs and design complexity,thus facilitating the practical engineering application.Compared to previous methods,the approach achieves a tenfold improvement in accuracy,satisfying the first-level metrological requirements outlined in JJG 763-2019.
分 类 号:TP212.9[自动化与计算机技术—检测技术与自动化装置]
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