海洋测绘2026，Vol.46Issue(2)：1-9,9.DOI:10.3969/j.issn.1671-3044.2026.02.001
基于信噪比划分重力导航适配区等级的实用化方法
A practical method for classifying gravity navigation adaptation zones based on signal-to-noise ratio
摘要
Abstract
The rationality and accuracy of adaptation zone division directly determine the applicability and even the success of gravity-aided navigation technology.Addressing the current lack of consensus on domestic criteria and execution standards for such division,this study proposes a practical stepwise and hierarchical adaptation zone classification scheme.The study begins by categorizing and analyzing widely used gravity field characteristic parameters,elucidating the scientific essence of gravity navigation adaptation zones and examining their applicability,and evaluating the guaranteed accuracy of the new version of the marine gravity background field model.To align with China's current technological capabilities and practical needs,a single-parameter SNR threshold method is proposed to classify adaptation zones into three grades(low,medium,and high)compatible with real-time filtering algorithms and correlation matching algorithms.Furthermore,gravity increments between adjacent survey points are adopted instead of point-based gravity values in the computations of filtering and correlation matching algorithms,thereby mitigating systematic biases introduced during the data modeling process.The theoretical conclusions are validated through numerical simulations using the recently released international satellite altimetry-derived gravity model SWOT-03.The study provides a distribution map of adaptation zones classified into low,medium,and high grades for the test area.关键词
重力辅助导航/适配区/特征参数/信噪比/匹配算法Key words
gravity-aided navigation/adaptation zone/characteristic parameter/signal-to-noise ratio/matching algorithm分类
天文与地球科学引用本文复制引用
欧阳永忠,吴婧如,黄谟涛,陆秀平,洪黎丹,邓志红..基于信噪比划分重力导航适配区等级的实用化方法[J].海洋测绘,2026,46(2):1-9,9.基金项目
国家自然科学基金项目(42274015 （）
42174013) （）
2024福建省科技重大专项(科教联合)项目(2024HZ026009) （科教联合）
福建理工大学引进科研教学团队资金项目(GY-24015) （GY-24015）
自然资源部海洋环境探测技术与应用重点实验室开放基金(MESTA-2023-A002) （MESTA-2023-A002）
自然资源部南海局2024年度科技发展基金项目(240103). （240103）
