雷达科学与技术2013，Vol.11Issue(1)：55-58,4.DOI:10.3969/j.issn.1672-2337.2013.01.010
稀疏分解在雷达一维距离像中的应用
Research on High Resolution Range Profile Based on Sparse Decomposition in Radar
摘要
Abstract
High resolution range profile has been widely used in radar imaging and target recognition because of its simplicity and effectiveness. For the GTD model of radar target, this paper studies the reconstruction 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.关键词
雷达/稀疏表示/匹配追踪/一维距离像Key words
radar/ sparse decomposition/ matching pursuit/ high resolution range profile分类
信息技术与安全科学引用本文复制引用
郑纯丹,周代英..稀疏分解在雷达一维距离像中的应用[J].雷达科学与技术,2013,11(1):55-58,4.
