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Radar high resolution range profiles analysis based on sparse decomposition

机译:基于稀疏分解的雷达高分辨率测距剖面分析

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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.
机译:由于获得的简单性和有效性,雷达高分辨率测距剖面图已广泛用于雷达成像和目标识别。对于雷达目标的GTD模型,本文研究了基于稀疏分解方法的高分辨率测距剖面的重建和特征提取。它可以避免奈奎斯特采样定理的弊端,并以更接近信号特征本质的方法处理雷达回波信号。实验结果表明了信号重构和特征提取的有效性。

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