Abstract
For space-based ice-sounding radar, low-frequency electromagnetic waves are employed to achieve the kilometer depth exploration capability in triple pole area, which can make up for the deficiencies of the existing ground-based and airborne ice-sounding radar in low detection efficiency and part coverage. However, the orbit height of space-based ice-sounding radar is generally several hundred kilometers, which leads to weak echo signal with regard to the ice, and the low-frequency electromagnetic wave will be disturbed by the ionosphere, which seriously affects the subsequent inversion of the ice radar image. In this paper, the data processing method for space-based low-frequency ice-sounding radar is presented. Firstly, a two-dimensional signal model of low frequency ionospheric echo is established, and the influence of ice-sounding radar system parameters on range and azimuth imaging quality is analyzed quantitatively. Moreover, the universal image entropy is selected as the evaluation criterion in the scene without salient points to evaluate the effectiveness of the proposed ionospheric correction method; Finally, the improved MCA model is adopted for cartoon-texture decomposition for the ice-sounding radar imaging, and the recognition of the kilometer depth target can be improved based on G channel component. Experimental data processing results verify the effectiveness of our proposed method.
Published Version
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