基于局部地球重力场模型的水下目标被动定位

基金项目: 国家杰出青年科学基金资助项目(40125013)

详细信息

Passive Location of Underwater Target Based on Local Gravity Field Model

¹Department of Navigation,Naval University of Engineering,717 Jiefang Road,Wuhan 430033,China;²Institute of Geodesy and Geophysics,Chinese Academy of Sciences,340 Xudong Street,Wuhan 430077,China

Funds: 国家杰出青年科学基金资助项目(40125013)

摘要: 提出了一种基于局部地球重力场模型的水下被动定位新模式。这种方法无需使用常用的匹配算法,因而也就摆脱了匹配算法的诸多限制。以分辨率为2′×2′的某区域重力异常数据为背景场进行仿真,仿真结果表明,局部重力场模型的平均误差小于0.133 1 mGal,潜器的平均经纬方向定位误差分别小于0.777 0nmile和1.244 4 nmile。
- 被动定位 /
- 傅立叶级数 /
- 局部重力场 /
- 匹配算法
Abstract: A new pattern for passive location which based on local gravity field model is presented.A fast Fourier series based local gravity field model is firstly introduced，then by which the measured gravity is expressed as continual analytical equation.Finally the classical extended Kalman filter is introduced to estimate the target position with measured gravity as measurement containing the information of target positon.Simulation is done on 0.2′×0.2′ gravity anomaly database，the result shows that the mean error of analytic equation of local gravity anomalies is less than 0.133 1 mGal，and the mean location errors in longitude and latitude are less than 0.777 0 nmile and 1.244 4 nmile respectively.
- passive location /
- Fourier series /
- local gravity field /
- matching algorithm