李钊伟^1,,
郑伟^1,2,3,4,5,,,
房静⁶,
吴凡¹
1. 中国空间技术研究院钱学森空间技术实验室, 北京 100094
2. 辽宁工程技术大学测绘与地理科学学院, 辽宁阜新 123000
3. 河南理工大学测绘与国土信息工程学院, 河南焦作 454000
4. 江苏海洋大学测绘与海洋信息学院, 江苏连云港 222005
5. 中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室, 武汉 430077
6. 中国电子科技集团公司第三十九研究所, 西安 710065

基金项目: 国家自然科学基金面上项目（41574014，41774014）、国防科技创新特区创新工作站项目、中央军委科技委前沿科技创新项目（085015）、中国空间技术研究院****人才基金、中国航天科技集团航天系统发展中心基金、中国航天科技集团钱学森空间技术实验室自主创新基金联合资助


详细信息

作者简介: 李钊伟, 男, 1986年生, 助理研究员, 主要从事水下重力导航研究.E-mail:lizhaowei@qxslab.cn

通讯作者: 郑伟, 男, 1977年生, 首席研究员, 主要从事卫星重力反演和天空海一体化导航与探测等方面研究.E-mail:zhengwei1@qxslab.cn

中图分类号: P223

收稿日期:2018-06-05
修回日期:2019-04-09
上线日期:2019-09-05

Optimizing suitability area of underwater gravity matching navigation based on a new principal component weighted average normalization method

LI ZhaoWei^1,,
ZHENG Wei^1,2,3,4,5,,,
FANG Jing⁶,
WU Fan¹
1. Qian Xuesen Laboratory of Technology, China Academy of Space Technology, Beijing 100094, China
2. School of Geomatics, Liaoning Technical University, Liaoning Fuxin 123000, China
3. School of Surveying and Landing Information Engineering, Henan Polytechnic University, Henan Jiaozuo 454000, China
4. School of Geomatics and Marine Information, Jiangsu Ocean University, Jiangsu Lianyungang 222005, China
5. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
6. The 39 th Research Institute of China Electronics Technology Group Corporation, Xi'an 710065, China


More Information

Corresponding author: ZHENG Wei,E-mail:zhengwei1@qxslab.cn

MSC: P223

--> Received Date: 05 June 2018
Revised Date: 09 April 2019
Available Online: 05 September 2019


摘要
摘要:本文开展了水下潜器重力匹配导航的匹配区适配性评价研究.第一，本文综合考虑了重力异常标准差、坡度标准差、粗糙度、重力异常差异熵、分形维数等重力场主要特征参数，联合主成分分析准则和加权平均原理，提出了新型主成分加权平均归一化法；第二，基于新型主成分加权平均归一化法，计算可评价重力异常基准图各区域匹配效果的总体特征参数指标，依据总体特征参数指标进行优良适配区、一般适配区和非适配区划分；第三，在相同条件下，在划分的优良适配区、一般适配区和非适配区内，分别进行重力匹配数值模拟验证比较，结果表明，优良适配区的重力匹配效果显著，匹配概率约为98%，匹配稳定性高，位置误差小于1个重力异常基准图格网.
关键词: 主成分加权平均归一化法/
水下重力匹配导航/
重力适配性/
海洋重力异常总体特征参数指标

Abstract:The suitability evaluation study of the matching area of underwater gravity matching navigation is carried out in this paper. Firstly, we comprehensively consider the main characteristic parameters of the gravity field such as standard deviation of gravity anomaly, standard deviation of slope, roughness, differential entropy of gravity anomaly and fractal dimension. And a new Principal Component Weighted Average Normalization (PCWAN) method is proposed based on principal component analysis guideline and weighted average principle. Secondly, according to the new PCWAN method, we obtain the overall characteristic parameter index that can evaluate the matching results of each area of the gravity anomaly reference map, in order to divide excellent suitability area, general suitability area and non-suitability area. Finally, in the same condition, we compare the numerical simulation results of gravity matching in three different matching areas. It is shown by the results that the gravity matching effect is significant in excellent suitability area. For example, the matching probability is about 98% as well as high matching stability, and the matching accuracy is less than 1 gravity anomaly grid.
Key words:PCWAN method/
Underwater gravity matching navigation/
Gravity suitability/
Overall characteristic parameter index of marine gravity anomaly



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