基于稀疏表示的复杂目标微波符合成像方法

2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP) Pub Date : 2020-08-04 DOI:10.1109/APCAP50217.2020.9245948

Kaicheng Cao, Yongqiang Cheng, Kang Liu, Jianqiu Wang, Hongqiang Wang

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引用次数: 2

摘要

微波符合成像(MCI)在超分辨率成像领域具有巨大的潜力，在稀疏目标上取得了优异的性能。但由于稀疏性较弱，对复杂目标的性能会严重下降。本文将稀疏表示方法应用于MCI，提出了一种基于重建的复杂目标成像方法。数值实验验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Microwave Coincidence Imaging Method for Complex Target Based on Sparse Representation

Microwave coincidence imaging (MCI) has great potential in super-resolution imaging realms, which has achieved a superior performance for sparse targets. However, its performance for complex target will degrade severely due to the weak sparsity. In this paper, the sparse representation method is applied to MCI and a reconstruction-based imaging method for complex target is proposed. Numerical experiments illustrate the validity of proposed method.

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2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP)

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