重力垂直梯度数据地图特征及其辅助导航

从随机过程理论出发,研究了重力垂直梯度场的主要特征参数(标准差、粗糙度、信息熵),通过选定局部窗口的滑移,计算了西太平洋海域分辨率为2’×2’的重力垂直梯度特征参数。选取不同特征区域的3条航线进行辅助导航仿真定位,并对导航能力进行统计分析,给出了重力垂直梯度特征参数与匹配成功率、定位误差的关系;在统计准则下,匹配成功率大于90%、定位精度优于1nmile,表明重力垂直梯度特征参数可以作为匹配区域选择以及航线规划的数量性依据。

Data map characteristics of gravity vertical gradient and its aided inertial navigation analysis

The main characteristic parameters of gravity vertical gradient field (standard deviation, roughness, information entropy) are studied based on the theory of stochastic process. By sliding the local computing window, the characteristic parameters with 2′×2′ resolution in the Western Pacific area are calculated. By selecting 3 sailing courses in different characteristic regions, the simulation experiments are implemented, and the statistic analysis for regional navigability are done. Comparison and analysis of the characteristic parameters are made, and the matching rate and the position error are given. Based on statistical criteria, the match probability is greater than 90%, and the position error is less than 1.0 n mile, and these show that the characteristic parameters of the gravity vertical gradient can provide a reference for selecting the matching regions and designing the sailing course.