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Sparse array imaging for microwave gauging by compressed sensing

机译:通过压缩传感进行微波测量的稀疏阵列成像

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The reliability of microwave level gauging can be improved by radar imaging techniques. An antenna array with a large aperture must be used, in order to achieve the desired resolution. At the same time, the number of array elements is limited to only a few, which leads to ambiguities due to spatial undersampling. The ambiguities can be resolved by application of compressed sensing (CS) techniques, as this paper will demonstrate. A model of this particular problem is developed, such that CS algorithms can be applied. Statistical analyses demonstrate the robustness of the method. Finally, measurements of a frequency modulated continuous wave (FMCW) system are presented, with an array size of down to 4 elements.
机译:微波液位测量的可靠性可以通过雷达成像技术来提高。为了获得所需的分辨率,必须使用具有大孔径的天线阵列。同时,阵列元素的数量被限制为仅几个,这由于空间欠采样而导致模棱两可。如本文将演示的那样,可以通过应用压缩感知(CS)技术解决歧义。开发了此特定问题的模型,以便可以应用CS算法。统计分析证明了该方法的鲁棒性。最后,介绍了一个调频连续波(FMCW)系统的测量结果,其阵列尺寸小至4个元素。

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