A new ionospheric tomographic algorithm – constrained multiplicative algebraic reconstruction technique (CMART)

Journal of Earth system science

Liu Sanzhi3¹  Wen Debao1 2² 

[1]Department of Surveying, Tongji University Shanghai, Shanghai 200 092, China.$$

[2]School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410 004, China.$$

关键词: GNSS;    ionosphere;    electron density;    tomography;    CMART;    MART;    geophysics;    remote sensing;    atmospheric sciences.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

For the limitation of the conventional multiplicative algebraic reconstruction technique (MART), a constrained MART (CMART) is proposed in this paper. In the new tomographic algorithm, a popular two-dimensional multi-point finite difference approximation of the second order Laplacian operator is used to smooth the electron density field. The feasibility and superiority of the new method are demonstrated by using the numerical simulation experiment. Finally, the CMART is used to reconstruct the regional electron density field by using the actual GNSS data under geomagnetic quiet and disturbed days. The available ionosonde data from Beijing station further validates the superiority of the new method.

【 授权许可】

Unknown