通过压缩传感的宽带声纳成像

Huichen Yan, Shibao Peng, Zhaotong Zhu, Jia Xu, Xudong Zhang
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引用次数: 8

摘要

为了解决声纳和雷达成像中方位角分辨率高、图像宽的矛盾,对窄带压缩感知成像技术进行了深入研究。本文研究了基于CS的宽带声纳成像方法。建立了宽带CS成像模型。模型中考虑了尺度变换和多普勒频移。分析了宽带信号对传统窄带模型的影响。构建了宽带CS成像方法。提出了一种改进的1-范数最小化算法。结果表明,将CS应用于宽带声纳成像是可行的。数值实验验证了分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wideband sonar imaging via compressed sensing
In order to solve the contradiction of high azimuth resolution and wide swath in sonar and radar imaging, narrowband compressed sensing (CS) imaging has been studied in depth. This paper studies the wideband sonar imaging method via CS. Wideband CS imaging model is constructed. Scaling and Doppler frequency shift are considered in the model. The effect of wideband signal to traditional narrowband model is analyzed. Wideband CS imaging method is constructed. A modified ℓ1-norm minimization algorithm is proposed. It is shown that it is possible to apply CS to wideband sonar imaging. Numerical experiments are conducted and demonstrates the analysis.
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