冯婷,刘默然,王翔,等. 利用增强等离子体谱线反演高精度电子密度[J]. 电波科学学报,2021,36(1):68-73. DOI: 10.13443/j.cjors.2019102502
      引用本文: 冯婷,刘默然,王翔,等. 利用增强等离子体谱线反演高精度电子密度[J]. 电波科学学报,2021,36(1):68-73. DOI: 10.13443/j.cjors.2019102502
      FENG T, LIU M F, WANG X, et al. High-resolution electron density obtained by the enhanced plasma lines at EISCAT[J]. Chinese journal of radio science,2021,36(1):68-73. (in Chinese). DOI: 10.13443/j.cjors.2019102502
      Citation: FENG T, LIU M F, WANG X, et al. High-resolution electron density obtained by the enhanced plasma lines at EISCAT[J]. Chinese journal of radio science,2021,36(1):68-73. (in Chinese). DOI: 10.13443/j.cjors.2019102502

      利用增强等离子体谱线反演高精度电子密度

      High-resolution electron density obtained by the enhanced plasma lines at EISCAT

      • 摘要: 提出了一种基于非相干散射雷达(incoherent scatter radar,ISR)等离子体谱线提取高精度电子密度的方法. 以欧洲非相干散射雷达科学联合会(European Incoherent Scatter Scientific Association,EISCAT)在2015年10月31日14:00—14:09UT观测到的增强等离子体谱线为例,进行了具体的分析讨论. 首先,采用曲线拟合的方法将增强的等离子体谱线从频谱中提取出来. 然后,利用线性朗缪尔波的色散关系反演得到电子密度. 最后通过对等离子体谱线的反演进行误差分析,并与传统的离子谱线分析方法作对比. 结果表明:增强的等离子体谱线具有更高的电离层电子密度估计精度; 同时证明在非相干积累时间很短的情况下,利用等离子体谱线能够反演得到高精度的电子密度.

         

        Abstract: A method of using plasma lines analysis to obtain the high-resolution electron density is presented in this paper. The enhanced plasma lines observed by European Incoherent Scatter Scientific Association (EISCAT) UHF radar at 14:00−14:09UT on October 31, 2015 are analyzed and discussed. First, by using curve fitting method, the enhanced plasma lines are extracted from the intensity profile. Then, the electron density is estimated by the enhanced plasma lines with linear Langmuir wave dispersion relation. By analyzing the standard error of enhanced plasma lines extraction and comparing to the electron density obtained from the traditional ion lines analysis, it is manifested that enhanced plasma lines are more promising for accurate ionospheric electron density estimation. Meanwhile, even with short integration periods, the plasma lines can derive electron density with high resolution.

         

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