基于稀疏分解的雷达高分辨率距离像分析

2012 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition Pub Date : 2012-10-04 DOI:10.1109/IWEM.2012.6320376

Chundan Zheng, Daiying Zhou, Rong Wang

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引用次数: 0

摘要

雷达高分辨率距离像具有获取简单、有效等优点，在雷达成像和目标识别中得到了广泛的应用。针对雷达目标GTD模型，采用稀疏分解方法研究了高分辨率距离像的重建与特征提取。它可以避免奈奎斯特采样定理的缺点，用更接近信号本质特征的方法对雷达回波信号进行处理。实验结果表明了信号重构和特征提取的有效性。

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Radar high resolution range profiles analysis based on sparse decomposition

The radar high resolution range profiles has been widely used in radar imaging and target recognition because of the simplicity and effectiveness to obtain. For the GTD model of radar target, this paper studies the reconstruction and feature extraction of high resolution range profiles using the method of sparse decomposition. It can avoid the drawbacks of the Nyquist sampling theorem and process the radar echo signal with the method of closer to the essence of the signal characteristics. The experimental results show the effectiveness of the signal reconstruction and feature extraction.

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来源期刊

2012 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition

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