重力匹配导航基准图特征提取及适配性分析

席梦寒; 武凛; 李倩倩; 鲍李峰; 孙和平

doi:10.13203/j.whugis20220389

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重力匹配导航基准图特征提取及适配性分析

大地测量学与测量工程 | 更新时间：2026-11-05

- 重力匹配导航基准图特征提取及适配性分析
- Feature Extraction and Suitability Analysis of Gravity Matching Navigation Reference Map
- 武汉大学学报（信息科学版） 2025年50卷第1期页码：53-62
- 作者机构：
  
  1.中国科学院精密测量科学与技术创新研究院，湖北武汉，430077
  2.中国科学院大学，北京，100049
- 作者简介：
  
  席梦寒，博士，主要从事重力导航基准图和特征库构建等研究。ximenghan21@mails.ucas.ac.cn
  武凛，副研究员。linwu@apm.ac.cn
- 基金信息：
  
  国家自然科学基金(42192535;42274116;42192533;42174102;41931076);海南省科技专项(ZDYF2024SHFZ086);中国科学院基础前沿科学研究计划(ZDBS-LY-DQC028)
- DOI：10.13203/j.whugis20220389
  中图分类号： P223
- 收稿：2023-04-19，
  
  纸质出版：2025-01-05
- 稿件说明：
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席梦寒,武凛,李倩倩，等.重力匹配导航基准图特征提取及适配性分析[J].武汉大学学报（信息科学版）,2025,50(1):53-62.

XI Menghan,WU Lin,LI Qianqian,et al.Feature Extraction and Suitability Analysis of Gravity Matching Navigation Reference Map[J].Geomatics and Information Science of Wuhan University,2025,50(1):53-62.
席梦寒,武凛,李倩倩，等.重力匹配导航基准图特征提取及适配性分析[J].武汉大学学报（信息科学版）,2025,50(1):53-62. DOI：10.13203/j.whugis20220389

XI Menghan,WU Lin,LI Qianqian,et al.Feature Extraction and Suitability Analysis of Gravity Matching Navigation Reference Map[J].Geomatics and Information Science of Wuhan University,2025,50(1):53-62. DOI：10.13203/j.whugis20220389

摘要

重力匹配辅助导航的定位精度与航行区域的重力场分布密切相关，因此导航适配区的选取对保障重力匹配导航的性能至关重要。选取高精度卫星测高全球海洋重力场模型数据，分别针对全球海域、中国南海及西太平洋海域，对不同尺度的重力导航基准图进行多参量特征分析，根据特征参数计算结果对导航适配区排序和分级，开展了多参量的海洋重力匹配导航适配区选取，并在中国南海及西太平洋海域中进行了匹配导航仿真验证。对比实验结果表明，导航适配区等级越高，该区域内的重力匹配导航的平均定位精度越高。不同导航适配区的特征参数变化趋势与适配区的匹配定位精度变化趋势具有显著的相关性和一致性。

Abstract

Objectives

Gravity matching aided navigation has gradually become a research hotspot in the field of underwater integrated navigation. Its positioning accuracy is closely related to the gravity variation characteristics of the navigation area

so the selection of navigation suitable matching area is very important to ensure the performance of gravity matching aided navigation. In the selection of matching areas for gravity navigation

the previous methods mainly focus on small-scale local simulation data

and the differences in gravity field characteristics between different sea areas are not fully considered. We select high-precision satellite altimetry global ocean gravity field model data to conduct multi-parameter characteristics analysis of gravity navigation reference maps at different scales.

Methods

We analyze the multi-parameter characteristics of gravity navigation reference maps at different scales for the global sea area

the South China Sea and the Western Pacific Ocean. The global sea area was divided into 23 areas

and the South China Sea and the Western Pacific Ocean into 20 areas. By calculating multiple characteristic parameters of each area

the global sea area large-scale and local sea area gravity matching navigation suitable matching areas were graded. A multi-parameter marine gravity matching navigation matching area was selected

and the matching navigation simulation was carried out in the South China Sea and the Western Pacific Ocean. The selection of suitable matching areas for marine gravity matching navigation is based on evaluating the strength of local gravity field variation. By comparing the matching navigation test results of different navigation suitable matching areas

the corresponding relationship between the local gravity field variation of the area and the matching navigation performance is established. Specific steps are as follows: (1) Gravity matching navigation sea area partition. (2) Calculation of local characteristics and assessment of information richness. (3) Sorting

grading and selection of navigation matching area. (4) Performance verification of matching navigation and positioning.

Results

The test results show that the higher the level of navigation matching area

the higher the average positioning accuracy of gravity matching navigation in this area. There is a significant correlation and consistency between the gravity matching navigation and positioning accuracy in different areas and the variation trend of local gravity field characteristic parameters. The results of navigation matching area selection of gravity field characteristic parameters have high reliability

and the selected higher level navigation matching area can generally obtain higher accuracy of matching navigation and positioning. Therefore

the partition and selection results of navigation matching areas can clearly and reliably reflect the matching navigation and positioning effects of different areas

so as to provide an important reference for ocean tests and route planning.

Conclusions

Improvement and elaboration of marine/underwater gravity matching navigation reference map and accurate assessment of gravity navigation reference map will further enhance the accuracy and reliability of the matching area selection for gravity matching navigation. At the same time

it will also significantly improve the stability and robustness of the underwater gravity matching aided navigation system

and provide a more solid technical support for the passive underwater long endurance autonomous navigation positioning.

关键词

Keywords

references

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