Compressed Sensing SAR Imaging for Wideband Linear Frequency Modulated Signal

被引：0

作者：

Zhang, Feifei ^{[1
]}

Song, Yaoliang ^{[1
]}

Mu, Tong ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Elect Engn & Optoelect Technol, Nanjing 210094, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING, INFORMATION SCIENCE & APPLICATION TECHNOLOGY (ICCIA 2017) | 2017年 / 74卷

关键词：

compressed sensing; SAR; linear frequency modulated signal; sparse matrix; stretch processing; ALGORITHM;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Compressed sensing (CS) theory provides a new chance to reduce the data rate of high resolution radar imaging system. A novel SAR imaging method based on compressed sensing for wideband linear frequency modulated (LFM) signal is proposed in this paper. The radar data compression is conducted in range and azimuth dimension respectively. A new sparse matrix based on stretch processing and Fourier transform is constructed and then applied to obtain the range profile information. Based on the range compression, the phase compensation and the azimuth compression are conducted. The method incorporates coherent mixing processing in sparse matrix, consequently simplifies hardware design of radar system. Simulation results show the effectiveness of the method in reducing data rate and suppressing sidelobe compared with conventional stretch processing (SP) method. It also turns out that the proposed method is robust in the case of serious noise.

引用

页码：667 / 672

页数：6

共 12 条

[1]

Baraniuk Richard, 2007, 2007 IEEE Radar Conference, P128, DOI 10.1109/RADAR.2007.374203

[2] A Novel SAR Imaging Algorithm Based on Compressed Sensing [J].