一种基于压缩感知的圆形卷积成像算法

2021 19th International Conference on Optical Communications and Networks (ICOCN) Pub Date : 2021-08-23 DOI:10.1109/ICOCN53177.2021.9563900

Shujie Mu

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引用次数: 1

摘要

针对圆形合成孔径雷达(CSAR)波数域成像效率低的问题，提出了一种基于压缩感知的圆形卷积算法，避免了压缩感知算法的复杂计算，仿真结果表明该算法能有效提高成像质量。

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A Novel Circular Convolution Imaging Algorithm Based on Compressed Sensing for CSAR

To solve the problem of low efficiency in wavenumber domain imaging of circular synthetic aperture radar (CSAR), a novel circular convolution algorithm based on compressed sensing is proposed, which can avoid the complex calculation in by compressed sensing algorithm and the simulation results show that the algorithm can effectively improve the imaging quality.

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来源期刊

2021 19th International Conference on Optical Communications and Networks (ICOCN)

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