摘要
重力匹配导航是对重力异常的数值图与实际的重力异常测量值进行比较和匹配,通过这种方法,可以对随时间而发散的惯性导航系统的误差进行修正,是一种无源导航方法。目前,卫星测量、航空测量、船舶测量是测量海洋重力异常的几种常用方式。论文提出的多源重力异常数据融合方法是依托于离散小波变换,将全球重力场模型重力异常、DEM正演重力异常以及卫星测高反演重力异常进行多源融合,并根据不同重力数据来源提取的表征值对重力基准数据的准确值采取迭代优化措施,最后基于离散小波逆变换获取融合的重力图谱,具有较高的实用价值。
Gravity matching navigation is to compare and match the numerical map of gravity anomaly with the actual measured value of gravity anomaly.Through this method,the error of inertial navigation system divergent with time can be corrected.It is a passive navigation method.At present,satellite survey,aerial survey and ship survey are several common methods to measure marine gravity anomalies.The multi-source gravity anomaly data fusion method proposed in this paper is based on discrete wavelet transform,which integrates the global gravity field model gravity anomaly,DEM forward gravity anomaly and satellite altimetry inversion gravity anomaly,and takes iterative optimization measures for the accurate value of gravity benchmark data according to the characteristic values extracted from different gravity data sources.Finally,the fused gravity map is obtained based on the inverse discrete wavelet transform,which has high practical value.
作者
谭斌
林沧
卢鑫
TAN Bin;LIN Cang;LU Xin(System Engineering Research Institute of China State Shipbuilding Corporation Limited,Beijing 100094)
出处
《舰船电子工程》
2021年第10期66-70,140,共6页
Ship Electronic Engineering
关键词
匹配导航
重力异常
小波变换
matching navigation
gravity anomaly
wavelet transform
