【摘要】 在传统像素基电离层层析成像中，直接将每个格网内的电离层电子密度作为未知数进行反演，容易出现由于未知数数目庞大而导致反演效率下降的问题。通过利用国际参考电离层(IRI)模型提取经验正交函数(EOFs)作为垂直方向基函数，将每个高度剖面的EOF系数作为未知数，可以显著减少未知数的数目，结合乘法代数重构算法(MART)进行电离层电子密度的重构，有效提升了反演计算效率。通过模拟数据和实测数据对该算法的反演结果进行验证，并将反演结果与测高仪实测数据和传统MART算法进行比较，结果表明该算法可以更加高效、准确地反演区域电离层电子密度。更多还原

【Abstract】 In the traditional pixel-based ionospheric tomography, as a result of directly inverting the ionospheric electron density in each grid as an unknown quantity, the inversion efficiency is easily reduced due to the large number of the unknowns. By using the empirical orthonormal functions(EOFs) that were derived from the international reference ionosphere model(IRI) model as the vertical direction basis function, the EOF coefficients of each height profile were regarded as the unknowns, which remarkably decreased the quantity of unknown numbers. The EOFs was combined with the multiplicative algebraic reconstruction technique(MART) to reconstruct the ionospheric electron density, which effectively improved the inversion computational efficiency. The inversion results of this algorithm was verified by using simulated data and measured data, and the comparison with the ionosonde observations and the traditional MART algorithm was also discussed. The results show that this algorithm can reconstruct the ionospheric electron density more efficiently and accurately.更多还原