基于混合序贯实验设计的全变分压缩感知野外重建

Baozhu Li, J. Yao, W. Ke, Wanchun Tang, M. Salucci, P. Rocca
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引用次数: 2

摘要

提出了一种基于减少测量次数而不需要对源天线有任何先验知识的二维远场强度重建方法。所开发的方法是基于顺序实验设计(SED)策略与全变差压缩感知(TV-CS)技术的有效集成。由于使用了SED,在场分布的高度非线性区域附近产生了更多的样本,从而通过TV-CS进行了更精确的重建。通过一组数值实验来评估该方法的潜力和特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Total-Variation Compressive Sensing Based on Hybrid Sequential Experimental Design for Field Reconstruction
An innovative approach for the two-dimensional (2D) far-field strength reconstruction from a reduced number of measurements without any prior knowledge on the source antenna is proposed. The developed methodology is based on the effective integration of a sequential experimental design (SED) strategy with a total variation compressive sensing (TV-CS) technique. Thanks to the SED, more samples are generated near highly non-linear regions of the field distribution, resulting in a more accurate reconstruction by means of the TV-CS. A set of numerical experiments is provided to assess the potentialities and features of the proposed method.
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