摘要
雷达一维距离像成像本质上是对雷达目标散射特性进行信号表示的过程,它以其获取的简单性及有效性,在雷达成像及目标识别方面得到了广泛的应用。针对雷达目标几何绕射参数化模型,利用稀疏分解方法,研究了高分辨一维距离像的重构及特征提取问题。以此可以避免奈奎斯特采样定理的弊端,以更贴近信号本质特征的方法处理雷达回波信号。通过匹配追踪算法,寻找最佳匹配原子的位置,以此估计雷达目标散射点参数。实验结果表明该方法在信号重构及特征提取方面的有效性。
High resolution range profile has been widely used in radar imaging and target recognition be- cause of its simplicity and effectiveness. For the GTD model of radar target, this paper studies the recon- struction and feature extraction of high resolution range profile using the method of sparse decomposition. This 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 MP algorithm is used to estimate the RCS parameter through searching for the position of the optimal matching atom. The experimental results show the effectiveness of the signal reconstruction and feature extraction.
出处
《雷达科学与技术》
2013年第1期55-58,共4页
Radar Science and Technology
关键词
雷达
稀疏表示
匹配追踪
一维距离像
radar
sparse decomposition
matching pursuit
high resolution range profile
