电离层三维层析成像的自适应联合迭代重构算法

An adaptive simultaneous iteration reconstruction technique for three-dimensional ionospheric tomography

在电离层层析成像过程中,联合迭代重构算法是一种常用的反演算法.然而,该算法迭代收敛较慢,反演结果精度不高.为此,本文发展了一种自适应的联合迭代重构算法,该算法利用上一轮的电离层电子密度反演结果,自适应地调整松弛因子和加权参数.通过模拟数据和实测数据对该算法的反演结果进行了验证,并将得到的反演结果与电离层测高仪数据进行了比较,结果表明,该算法能够有效地反演电离层电子密度,且反演结果精度优于常用的联合迭代重构算法.

The three-dimensional reconstruction of a tilt series for ionospheric tomography is commonly carried out using one of iterative algorithms such as the simultaneous iteration reconstruction technique（SIRT）.This reconstruction algorithm cannot do the high computation efficiency and reconstruction accuracy is low.Here,we develop an adaptive simultaneous iteration reconstruction technique for ionospheric tomography,which is based on an adaptive adjustment method for the relaxation factor and weighted parameter by the reconstruction results of the previous iterative ionospheric electron density.Using a combination of simulation and real datasets for the experiment and comparing with ionosonde observations,it is shown that this new algorithm ASIRT has a better reconstruction quality than the SIRT.Moreover,it is able to accelerate the reconstruction speed.