An Improved Iterative Algorithm for Ionospheric Tomography Reconstruction by Using the Automatic Search Technology of Relaxation Factor. Issue 9 (12th September 2018)

• Record Type: Journal Article
• Authors: Zheng, Dunyong; Yao, Yibin; Wenfeng, Nie; Yang, Wentao; Hu, Wusheng; Ao, Minsi; Zheng, Hongwei
• Is Part Of: Radio science. Volume 53:Issue 9(2018)
• Page Start: 1051
• Page End: 1066
• Publication Date: 2018-09-12
• Subjects: GPS -- computerized ionospheric tomography -- ionospheric electron density -- automatic search -- relaxation factor -- ionosonde; Radio meteorology -- Periodicals; Radio wave propagation -- Periodicals; 621.38405
• DOI: 10.1029/2018RS006588
• Languages: English
• ISSNs: 0048-6604

Abstract

Abstract: An improved ionospheric tomography algorithm is developed for the tomographic reconstruction of the ionospheric electron density distribution based on the automatic search technology of relaxation factor, in which the automatic search technology is a training process to optimize the relaxation factors of the iterative algorithm. In comparison with some classical tomography algorithms, the proposed algorithm can not only greatly improve the efficiency of inversion but also obtain ionospheric electron density images with high fidelity. A careful validation of the proposed algorithm is performed by conducting numerical experiments with Global Positioning System simulation and real data, and according to the results of the quantitative comparison and statistical analysis, compared with other classical ionospheric tomography algorithms, the proposed algorithm exhibits significantly reconstruction accuracy. Key Points: We develop an improved ionospheric tomography algorithm based on the automatic search (AS) technology of relaxation factor The automatic search (AS) technology can be applied to all ionospheric tomography iterative algorithm with relaxation factor The approach is demonstrated through conducting numerical experiments with GPS simulation and real data