基于Kalman滤波的断层扫描初步层析水汽湿折射率分布

基金项目: 国家863计划资助项目(2007AA12Z310,2007AA12Z345)，国家自然科学基金资助项目(40575011,40604002)

详细信息

Preliminary Tomography Spatial Wet Refractivity Distribution Based on Kalman Filter

¹Research Center of GNSS,Wuhan University,129 Luoyu Road,Wuhan 430079,China;²Wuhan Institute of Heavy Rain,3 East Donghu Road,Hongshan District,Wuhan 430074,China

Funds: 国家863计划资助项目(2007AA12Z310,2007AA12Z345)，国家自然科学基金资助项目(40575011,40604002)

摘要: 给出了基于GPS信号湿延迟的层析格网模型的建立方法,对Kalman滤波层析水汽算法给出了详细的推导说明,采用给定的算法初步层析了香港区域水汽湿折射率分布。结果显示,基于Kalman滤波的层析算法可以较好地重构水汽的空间分布,较之附加约束条件的层析算法更加容易实现与计算。
- 地基GNSS气象 /
- 层析格网模型 /
- Kalman滤波 /
- 湿折射率
Abstract: Tomography voxel model based SPD is introduced.Tomography based on Kalman filter is presented,and the method is used to retrieve the 3D wet refractivity from Hong Kong field experiment.The preliminary results show that this method can effectively retrieve water vapor and is more easily implemented than the constrained tomography.
- ground-based GNSS meteorology /
- tomography voxel model /
- Kalman filter /
- wet refractivity