A Range Ambiguity Resolution Approach for High-Resolution and Wide-Swath SAR Imaging Using Frequency Diverse Array

2017 ◽  
Vol 11 (2) ◽  
pp. 336-346 ◽  
Author(s):  
Chenghao Wang ◽  
Jingwei Xu ◽  
Guisheng Liao ◽  
Xuefei Xu ◽  
Yuhong Zhang
2020 ◽  
Vol 168 ◽  
pp. 107323 ◽  
Author(s):  
Hanbing Wang ◽  
Yuhong Zhang ◽  
Jingwei Xu ◽  
Guisheng Liao ◽  
Cao Zeng

Author(s):  
Felipe Queiroz de Almeida ◽  
Marwan Younis ◽  
Pau Prats-Iraola ◽  
Marc Rodriguez-Cassola ◽  
Gerhard Krieger ◽  
...  

2010 ◽  
Vol 4 (4) ◽  
pp. 548 ◽  
Author(s):  
L. Zhang ◽  
M.-D. Xing ◽  
C.-W. Qiu ◽  
Z. Bao

2013 ◽  
Vol 49 (3) ◽  
pp. 2110-2110 ◽  
Author(s):  
Nicolas Gebert ◽  
Michelangelo Villano ◽  
Gerhard Krieger ◽  
Alberto Moreira

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Feng Liu ◽  
Shanxiang Mu ◽  
Wanghan Lv

To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS). Echo model of sparse array in range and compressive sampling is reconstructed with CS theory. Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit. Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively. Comprehensive numerical simulation examples are performed. Its validity and practicality are validated by simulations.


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