| 一种基于LEO卫星信标的电离层层析成像新算法 |
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| 引用本文： | 欧明,甄卫民,刘裔文,邓忠新,熊雯,徐继生.一种基于LEO卫星信标的电离层层析成像新算法[J].地球物理学报,2015,58(10):3469-3480. |
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| 作者姓名： | 欧明 甄卫民 刘裔文 邓忠新 熊雯 徐继生 |
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| 作者单位： | 1. 武汉大学电子信息学院, 武汉 430079;
2. 中国电波传播研究所青岛分所, 青岛 266107 |
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| 基金项目： | 科技部国际科技合作专项(2011DFA-22270,2014DFR-21280)联合资助. |
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| 摘 要： | LEO卫星信标是电离层监测的重要手段之一.利用电离层层析成像算法,LEO卫星信标能够实现区域电离层电子密度的快速重构.针对LEO卫星信标的特点,本文提出了一种函数基模型与像素基模型组合的电离层层析成像新算法.选择差分相对电离层总电子含量作为输入数据源,先通过函数基模型法获取电离层电子密度初始分布,再利用像素基模型法对初始分布进行二次迭代重构,该方法可有效降低电离层层析成像对背景电离层模型的依赖,同时能够实现电离层小尺度扰动结构的有效反演.利用数值仿真方法及低纬度电离层层析成像网的实测数据的反演结果验证了本文提出的新算法的可行性和可靠性.
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| 关 键 词： | LEO卫星信标 电离层层析成像 电子密度 函数基模型 像素基模型 |
| 收稿时间： | 2015-01-09 |
A new ionospheric tomography algorithm based on LEO beacon measurement |
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| OU Ming,ZHEN Wei-Min,LIU Yi-Wen,DENG Zhong-Xin,XIONG Wen,XU Ji-Sheng.A new ionospheric tomography algorithm based on LEO beacon measurement[J].Chinese Journal of Geophysics,2015,58(10):3469-3480. |
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| Authors: | OU Ming ZHEN Wei-Min LIU Yi-Wen DENG Zhong-Xin XIONG Wen XU Ji-Sheng |
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| Institution: | 1. School of Electronic Information, Wuhan University, Wuhan 430079, China;
2. China Research Institute of Radiowave Propagation, Qingdao 266107, China |
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| Abstract: | Low earth orbit (LEO) beacon is one of the most important means for ionospheric monitoring and it can be used to reconstruct the regional distribution of ionospheric electron density by ionospheric tomography method. A new algorithm has been proposed in this article which combines function-based model and voxel-based model according to the characteristics of LEO beacon. Differential relative total electron content (TEC) is considered as data source for ionospheric tomography. The initial distribution of the ionospheric electron density which derives from function-based model will be used in a secondary iterative reconstruction process according to voxel-based model to obtain the distribution of ionospheric electron density.
The advantages of function-based model and voxel-based model are combined in this new algorithm which will effectively reduce the dependence of the ionospheric tomography on the background ionosphere and reconstruct ionospheric disturbance structure of small scale as well. The absolute mean error, RMS and relative error of NmF2 derived from simulation is 0.89×1011el·m-3, 1.00×1011el·m-3 and 7.8% respectively compared with 1.6×1011 el·m-3, 2.3×1011 el·m-3 and 16.2% derived from CT result of Low-latitude Ionospheric Tomography Network (LITN) observations. The inversion results of numerical simulation and actual LEO beacon observations from LITN validate the feasibility and reliability of this new algorithm. |
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| Keywords: | LEO beacon Ionospheric tomography Electron density Function-based model Voxel-based model |
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