节点文献
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】 适配区划分的合理性和准确性直接决定重力辅助导航技术的应用广度甚至成败。针对当前国内关于适配区划分准则和执行标准存在认知不够统一的现状,提出一种面向实用化需求的分步分级适配区划分方案。对当前广泛使用的各类重力场特征参数进行归类分析,解析重力辅助导航适配区的科学内涵,分析探讨了适配区的适用性问题,评估了海域重力背景场新版模型的保障精度;针对我国当前技术发展水平和实际应用需求,提出依据重力异常信噪比单一参数阈值法,将适配区划分为与实时滤波算法和相关匹配算法相匹配的低、中、高3个等级,提出采用相邻测点的重力段差替代重力测点值,进行滤波匹配和相关匹配算法解算,以减弱数据建模过程引入的系统性偏差。利用国际上新近发布的卫星测高重力模型SWOT-03,对理论分析结论进行了数值计算分析验证,给出了试验区低、中、高3个等级的适配区分布图。
【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.
【Key words】 gravity-aided navigation; adaptation zone; characteristic parameter; signal-to-noise ratio; matching algorithm;
- 【文献出处】 海洋测绘 ,Hydrographic Surveying and Charting , 编辑部邮箱 ,2026年02期
- 【分类号】U674.941;U675.7;P223.39
- 【下载频次】10