一种基于离散余弦变换-惩罚最小二乘回归的区域高分辨率电离层TEC地图重构方法 |
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引用本文: | 欧明,陈龙江,吴家燕,甄卫民,吕梦海. 一种基于离散余弦变换-惩罚最小二乘回归的区域高分辨率电离层TEC地图重构方法[J]. 电波科学学报, 2022, 37(3): 419-425. DOI: 10.12265/j.cjors.2021211 |
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作者姓名: | 欧明 陈龙江 吴家燕 甄卫民 吕梦海 |
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作者单位: | 1.中国电波传播研究所,青岛 266107 |
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基金项目: | 国家重点研发计划(2018YFF01013700, 2018YFF01013703);技术基础预研(315030409);中国电波传播研究所稳定支持科研经费(A131902W03) |
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摘 要: | 高时空分辨率的电离层TEC地图对中小尺度电离层扰动的分析和建模具有重要的应用价值. 利用中国大陆构造环境监测网络和国际GNSS服务(international GNSS service, IGS)的地基GNSS监测数据,基于离散余弦变换-惩罚最小二乘回归(discrete cosine transform and penalized least square regression, DCT-PLS)算法,实现了区域高时空分辨率(1°×1°×15 min)电离层TEC地图的重构. 通过与2014年和2018年部分Madrigal高精度TEC数据的对比结果表明,DCT-PLS算法给出的垂直TEC一致性和稳定性相比欧洲定轨中心(Center for Orbit Determination in Europe,CODE)的全球TEC地图(global ionospheric map, GIM)数据有明显提升,其中TEC平均误差由3.9 TECU下降为2.0 TECU,标准差由3.7 TECU下降为2.7 TECU. 对2017-09一次磁暴期间的电离层重构结果表明,本文算法能够较好地再现磁暴期间电离层精细化的扰动结构特征,相关研究结果可为实现区域高分辨率电离层监测和应用提供技术支撑.
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关 键 词: | TEC地图 GNSS 离散余弦变换 惩罚最小二乘回归 电离层扰动结构 |
收稿时间: | 2021-08-10 |
Regional high spatial and temporal resolution ionospheric TEC map reconstruction base on DCT-PLS algorithm |
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Affiliation: | 1.China Research Institute of Radiowave Propagation, Qingdao 266107, China2.CETC( Qingdao) Radiowave Technology Co., Ltd., Qingdao 266107, China |
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Abstract: | Ionospheric TEC map with high temporal and spatial resolution plays an important role for the analysis and modeling of small and medium scale ionospheric disturbances. Based on the monitoring data of the crustal movement observation network of China(CMONOC) and the IGS, the reconstruction of high spatial and temporal resolution TEC maps (1°×1°×15 min) in China and its surrounding areas is realized based on penalized least square regression and discrete cosine transform (DCT-PLS) algorithm. The results are compared with the data of MIT Madrigal high precision vertical TEC data in 2014 and 2018. Compared with GIM data from CODE, the consistency and stability of vertical TEC given by DCT-PLS algorithm is obviously improved. The average error of TEC is reduced from 3.9 TECU to 2.0 TECU, and the standard deviation is reduced from 3.7 TECU to 2.7 TECU. The results of ionospheric reconstruction during a magnetic storm in September 2017 show that this algorithm can better reproduce the ionospheric disturbance structure characteristics during the magnetic storm, and the related results can provide theoretical support for the realization of regional high-resolution ionospheric monitoring and application. |
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