| 基于压缩感知的稀疏无源雷达成像 |
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| 引用本文： | 徐浩,尹治平,刘畅畅,王东进,陈卫东. 基于压缩感知的稀疏无源雷达成像[J]. 系统工程与电子技术, 2011, 33(12): 2623-2630. DOI: 10.3969/j.issn.1001-506X.2011.12.11 |
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| 作者姓名： | 徐浩 尹治平 刘畅畅 王东进 陈卫东 |
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| 作者单位： | 中国科学技术大学电子工程与信息科学系, 安徽 合肥 230027 |
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| 基金项目： | 国家自然科学基金(61172155); 中国博士后科学基金(20090460726)资助课题 |
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| 摘 要： | 当窄带外辐射源数目稀少且空间分布不均匀时，通常会在无源雷达成像中产生稀疏的无规则空间谱填充，使得传统快速逆傅里叶方法(inverse fast Fourier transform, IFFT)或极坐标方法难以获得良好的目标成像效果。针对这种空间谱填充的稀疏性和非均匀性，利用压缩感知理论在处理稀疏随机采样信号重构问题上的优势，提出了稀疏无源雷达成像方法。同时通过构造传感矩阵的互相关和积累相关函数，对目标图像的可重构性进行了分析。理论分析和仿真结果表明，对具有稀疏随机空间谱特点的无源雷达成像，本文提出的成像方法是有效的。
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| 关 键 词： | 空间谱填充 压缩感知 稀疏无源成像 传感矩阵 互相关函数 |
Sparse passive radar imaging based on compressive sensing |
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| XU Hao,YIN Zhi-ping,LIU Chang-chang,WANG Dong-jin,CHEN Wei-dong. Sparse passive radar imaging based on compressive sensing[J]. System Engineering and Electronics, 2011, 33(12): 2623-2630. DOI: 10.3969/j.issn.1001-506X.2011.12.11 |
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| Authors: | XU Hao YIN Zhi-ping LIU Chang-chang WANG Dong-jin CHEN Wei-dong |
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| Affiliation: | Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China |
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| Abstract: | The narrow bandwidth passive radar has the feature that the number of the non-uniform radiation sources is rare.This feature directly leads to a sparse and non-uniform spatial-spectral filling,which makes the conventional inverse fast Fourier transform(IFFT) and polar-coordinate method fail to get a good imaging performance.A novel passive imaging method is proposed for these features,and it fully takes advantage of the compressive sensing in signal recovery based on sparse and random sampling.The reconstru... |
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| Keywords: | space-spectral filling compressive sensing sparse passive imaging compressive matrix cross-correlation function |
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