计算机应用研究Issue(1)：286-290,5.DOI:10.3969/j.issn.1001-3695.2016.01.066
基于随机阵列的降维压缩感知三维成像方法
Compressed sensing 3D imaging method with dimension reduction for random array
摘要
Abstract
The traditional three dimensional (3D)microwave imaging methods,based on compressed sensing (CS),had two problems:the complex modeling and the data interference between elevation slices.Thus,based on random array,this paper presented a novel CS 3D microwave imaging method.It modeled the whole 3D imaging space directly;as a result it overcame the data interference between elevation slices which existed when modeling slice by slice.Meanwhile,it developed three schemes,namely truncating compressed echo data,extracting coherent accumulated image and random sampling,to reduce the dimensions of the measurement matrix.Experimental results validate that the proposed method can focus scatters in 3D space,and reconstructs the scene more accurately than the traditional method.Moreover,our researches show that CS 3D ima-ging provides sidelobe suppression effect,and also improve the resolution of the random array to some extent.关键词
压缩感知/三维成像/层间串扰/随机阵列/降低传感矩阵维数/分辨率增强Key words
compressed sensing (CS)/three dimensional (3D)imaging/interference between elevation slices/random ar-ray/reducing the dimensions of the measurement matrix/resolution enhancement分类
信息技术与安全科学引用本文复制引用
向高,张晓玲,师君,吴宗亮,韦顺军..基于随机阵列的降维压缩感知三维成像方法[J].计算机应用研究,2016,(1):286-290,5.基金项目
国家博士点基金资助项目（20110185110001）；国家自然科学基金资助项目 （）
