红外与毫米波学报2020，Vol.39Issue(3)：300-305,6.DOI:10.11972/j.issn.1001-9014.2020.03.006
基于等效相位中心近似与改进SLIM算法的稀疏阵列快速成像算法
A fast imaging algorithm for sparse array imaging based on PCA and modified SLIM methods
摘要
Abstract
An algorithm combining frequency domain imaging algorithm and compressed sensing(CS)frame-work is proposed in here for millimeter-wave multi-static sparse array imaging. The algorithm consists of two ma-jor steps. Firstly,the typical fast Fourier transform(FFT)algorithm used in square boundary array with phase center approximation(PCA)is carried out. However,the residual phase error introduced by the PCA at close range cannot be compensated completely,so in the second step,the modified sparse learning via iterative minimi-zation(SLIM)algorithm which is in the CS framework is introduced to refocus the initial images. By combining PCA and the modified SLIM algorithm,the proposed algorithm reaches a better computational efficiency,im-proves the image quality,and alleviates the requirement for iterations of the original SLIM algorithm. Simulation results verify the effectiveness of this algorithm.关键词
稀疏阵列成像/傅里叶变换成像算法/改进的SLIM算法/压缩感知Key words
sparse array imaging/fft imaging algorithm/the modified SLIM algorithm/compressed sensing分类
数理科学引用本文复制引用
孟祥新,武帅,涂昊,柳桃荣,靳学明..基于等效相位中心近似与改进SLIM算法的稀疏阵列快速成像算法[J].红外与毫米波学报,2020,39(3):300-305,6.基金项目
Supported by Key research and development projects in Anhui Province(201904e01020005) （201904e01020005）
