A Constrained Lonospheric Tomography Algorithm with Smoothing Method
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摘要: 根据乘法代数重构算法，利用相邻像素之间的连续性及平滑性，采用附加平滑约束的方法来克服没有任何观测信息的像素对经验模型给出的初值的依赖。利用中国地壳运动观测网络的高精度双频GPS观测值，反演了中国区域上空电离层电子密度分布，将反演的结果同检验站的电离层延迟进行对比分析，并且将反演的电子密度剖面与相应的测高仪数据进行比较，验证了此方法的有效性和可靠性。Abstract: In order to fill the data gaps in the voxels which were not intersected by any rays and depend on the initialized information, a new ionospheric tomography algorithm with smoothing method was proposed using the continuity and smoothness between the neighbor voxels in the tomography based on the multiplicative algebraic reconstruction techniques. Using the high precise dual\|frequency ground\|based GPS observation from the crustal movement observation network of China, the ionosphere density was reconstructed over China by the new technique. The retrieved ionosphere delay by the inversed result was compared with that from test stations, and the obtained density profile was compared with the ionosondes. The results demonstrated the efficiency and reliability of the new method.
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Keywords:
- ionospheric tomography /
- MART /
- Gaussian weighted function
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