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目前电离层掩星数据反演是基于电离层电子密度分布局部球对称近似的Abel反演方法,实际电离层的非球对称性会给电子密度反演结果带来误差.本文研究利用三维电离层模式来提供电子密度水平变化的先验信息约束电离层掩星反演的方法,即三维模式约束法;并将该方法应用于模拟掩星观测数据和实测掩星数据的反演.模拟观测数据的反演结果表明,与Abel反演方法相比,三维模式约束法能够减小反演误差.采用IRI2001模式作为约束,对COSMIC电离层掩星实测数据反演,将反演结果与全球的垂测仪数据进行比较,结果表明,三维模式约束法和Abel反演方法都能很好地反演电离层掩星. 相似文献
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在电离层层析成像过程中,联合迭代重构算法是一种常用的反演算法.然而,该算法迭代收敛较慢,反演结果精度不高.为此,本文发展了一种自适应的联合迭代重构算法,该算法利用上一轮的电离层电子密度反演结果,自适应地调整松弛因子和加权参数.通过模拟数据和实测数据对该算法的反演结果进行了验证,并将得到的反演结果与电离层测高仪数据进行了比较,结果表明,该算法能够有效地反演电离层电子密度,且反演结果精度优于常用的联合迭代重构算法. 相似文献
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高频天波返回散射探测作为重要的电离层探测手段,能够实现遥远区域电离层空间上的连续监测,探测获取的返回散射扫频电离图显示了探测频率-群路径-回波能量三者之间的关系.由于电离图包含了探测路径上的电离层状态信息,通过对其反演可以实时获取大面积范围的电离层参数.本文提出了一种基于解空间约束的返回散射前沿反演算法,能够重构电离层水平不均匀结构.针对反演非线性问题,采用Newton-Kontorovich方法进行求解,同时又引入了求解不适定问题的Tikhonov正则化方法,有益于解的稳定性和唯一性.利用模拟数据和实测数据分别对本文建立的算法进行了验证,并与Fridman和Fridman于1994年提出的反演方法进行了对比.结果表明,本文算法反演结果稳定,对返回散射前沿判读误差不敏感,与Fridman和Fridman 1994年方法相比,本文方法对电离层局部精细结构反演更加准确,具有较高的反演精度.本文提出的算法不但能够反演白天和夜间这种电离层较平稳时期的电离层状态,而且对于日出/日落时段等电子浓度分布变化较快情形下的电离层,也有很好的反演效果,表明了该算法在处理复杂多变的实际探测的返回散射电离图中的应用价值. 相似文献
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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. 相似文献
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区别于以往GPS电离层层析研究主要关注迭代模型的思路,本文从两方面入手提高GPS电离层层析迭代算法的反演精度:一方面,顾及传统电离层层析迭代模型仅与对电子密度误差起放大作用的GPS射线截距权重相关的不足,提出考虑层析像素格网中的电子密度对GPS TEC的贡献建立新的迭代模型,在不同电子密度像素格网内重新分配GPS TEC实测值与其反演值之间的差距;另一方面,顾及电离层层析迭代算法中松弛因子对反演结果的影响,提出考虑电子密度变化构造新的松弛因子,抑制传播噪声对电子密度反演精度的影响.实验结果显示,相对于传统代数重构算法(ART),新方法反演的电离层电子密度剖面更接近于电离层测高仪观测的电子密度剖面,提高了电子密度反演精度. 相似文献
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本研究基于美国GUVI观测氧原子135.6 nm夜气辉光谱数据,建立了GUVI临边观测模型,采用正则化和牛顿迭代法相结合的方法,消除了权重矩阵的病态问题,得到了峰值电子密度和峰值高度,并结合电离层电子密度的Chapman表达式,反演得到了电离层电子密度剖面.将得到的反演结果与地基方式获取的观测数据进行比较,两者吻合得很好.之后,反演得到了磁暴期2002年9月29日到10月3日的电子密度剖面,初步分析了电离层电子密度剖面随磁暴的变化情况. 相似文献
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本文利用两颗跟飞的GRACE卫星载GPS信标测量数据和基于差分相对TEC的层析算法,实现了全球范围的顶部电离层和等离子体层(450~5000 km) 层析成像.反演结果表明,利用低轨道卫星载GPS信标测量数据可以有效地重建顶部电离层和等离子体层的全球二维分布图像.对不同地磁活动条件下的天基层析反演结果表明,等离子体层电子密度随纬度的分布是不均匀的;在低纬赤道带,从顶部电离层向上延伸直到等离子体层,以及等离子体层中局地的电离增强云团,经常出现近似垂直于磁力线的电子密度柱状增强结构. 相似文献
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Determination of the vertical electron-density profile in ionospheric tomography: experimental results 总被引：1，自引：0，他引：1
The reconstruction of the vertical electron-density profile is a fundamental problem in ionospheric tomography. Lack of near-horizontal ray paths limits the information available on the vertical profile, so that the resultant image of electron density is biased in a horizontal sense. The vertical profile is of great importance as it affects the authenticity of the entire tomographic image. A new method is described whereby the vertical profile is selected using relative total-electron-content measurements. The new reconstruction process has been developed from modelling studies. A range of background ionospheres, representing many possible peak heights, scale heights and electron densities are formed from a Chapman profile on the bottomside with a range of topside profiles. The iterative reconstruction process is performed on all of these background ionospheres and a numerical selection criterion employed to select the final image. The resulting tomographic images show excellent agreement in electron density when compared with independent verification provided by the EISCAT radar. 相似文献
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I. K. Walker J. A. T. Heaton L. Kersley C. N. Mitchell S. E. Pryse M. J. Williams 《Annales Geophysicae》1997,14(12):1413-1421
This paper highlights the important role played by the EISCAT radar for verification in the development of tomographic techniques to produce images of ionospheric electron density. A brief review is given of some of the stages in the application of tomographic reconstruction techniques to the ionosphere. Results are presented to illustrate the effectiveness of the method in imaging ionospheric structures at high latitudes. In addition, the results include the first tomographic image of the ionosphere for a region extending from mid-latitudes over mainland Scandinavia to high latitudes above Svalbard. 相似文献
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The earlier experiments of ionospheric tomography were conducted by receiving satellite signals from ground-based stations and then reconstructing electron density distribution from measures of the total electron content (TEC). In June 1994, National Central University built up the low-latitude ionospheric tomography network (LITN) including six ground stations spanning a range of 16.7° (from 14.6°N to 31.3°N) in latitude within 1° of 121°E longitude to receive the naval navigation satellite system (NNSS) signals (150 and 400 MHz). In the study of tomographic imaging of the ionosphere, TEC data from a network of ground-based stations can provide detailed information on the horizontal structure, but are of restricted utility in sensing vertical structure. However, an occultation observation mission termed the global positioning system/meteorology (GPS/MET) program used a low Earth orbiting (LEO) satellite (the MicroLab-1) to receive multi-channel GPS carrier phase signals (1.5 and 1.2 GHz) and demonstrate active limb sounding of the Earth's atmosphere and ionosphere. In this paper, we have implemented the multiplicative algebraic reconstruction technique (MART) to reconstruct and compare two-dimensional ionospheric structures from measured TECs through the receptions of the GPS signals, the NNSS signals, and/or both of the systems. We have also concluded the profiles retrieved from tomographic reconstruction showing much reasonable electron density results than the original vertical profiles retrieved by the Abel transformation and being in more agreement in peak electron density to nearby ionosonde measurements. 相似文献
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—?We develop algorithms for the construction of irregular cell (block) models for parameterization of tomographic inverse problems. The forward problem is defined on a regular basic grid of non-overlapping cells. The basic cells are used as building blocks for construction of non-overlapping irregular cells. The construction algorithms are not computationally intensive and not particularly complex, and, in general, allow for grid optimization where cell size is determined from scalar functions, e.g., measures of model sampling or a priori estimates of model resolution. The link between a particular cell j in the regular basic grid and its host cell k in the irregular grid is provided by a pointer array which implicitly defines the irregular cell model. The complex geometrical aspects of irregular cell models are not needed in the forward or in the inverse problem. The matrix system of tomographic equations is computed once on the regular basic cell model. After grid construction, the basic matrix equation is mapped using the pointer array on a new matrix equation in which the model vector relates directly to cells in the irregular model. Next, the mapped system can be solved on the irregular grid. This approach avoids forward computation on the complex geometry of irregular grids. Generally, grid optimization can aim at reducing the number of model parameters in volumes poorly sampled by the data while elsewhere retaining the power to resolve the smallest scales warranted by the data. Unnecessary overparameterization of the model space can be avoided and grid construction can aim at improving the conditioning of the inverse problem. We present simple theory and optimization algorithms in the context of seismic tomography and apply the methods to Rayleigh-wave group velocity inversion and global travel-time tomography. 相似文献