Compressed Sensing SAR Imaging for Wideband Linear Frequency Modulated Signal

DOI

10.2991/iccia-17.2017.119How to use a DOI?

Keywords

compressed sensing, SAR, linear frequency modulated signal, sparse matrix, stretch processing

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feifei Zhang
AU  - Yaoliang Song
AU  - Tong Mu
PY  - 2016/07
DA  - 2016/07
TI  - Compressed Sensing SAR Imaging for Wideband Linear Frequency Modulated Signal
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 694
EP  - 699
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.119
DO  - 10.2991/iccia-17.2017.119
ID  - Zhang2016/07
ER  -