电离层层析重构的一种新算法

A new method of ionospheric tomographic reconstruction

自适应联合迭代重构算法是电离层层析成像中一种收敛速度较快的反演算法.然而,在电离层电子密度重构过程中,该方法对迭代初值的精度要求较高.针对上述问题,本文提出了一种约束自适应联合迭代重构算法,该方法通过附加合理的平滑约束,减弱了没有观测信息的格网对迭代初值精度的依赖性,有效地提高了反演结果精度.数值模拟实验和实测数据的反演结果证实了该算法的可行性和在重构精度上的优越性.

Adaptive simultaneous iteration reconstruction technique is a fast algorithm for the tomographic reconstruction of ionospheric electron density distribution. However, the algorithm is sensitive to the initial value. For those cells without any rays traversing them, the final results are the same as the initial values, which are obtained from empirical ionospheric model. To resolve the above problem, a constrained adaptive simultaneous iteration reconstruction technique is presented in this paper. The new method imposes reasonable constraints on the tomography system by considering the continuousness and smoothness of neighboring cells, and the accuracy of ionospheric electron density reconstruction is efficiently improved. Numerical test and actual GNSS observation experiment validates the feasibility and superiority of the new method.