scholarly journals CEBRAS: Cross elevation beam range ambiguity suppression for high-resolution wide-swath and MIMO-SAR imaging

2015 ◽  
Author(s):  
G. Krieger ◽  
S. Huber ◽  
M. Villano ◽  
M. Younis ◽  
T. Rommel ◽  
...  
Keyword(s):  
High Resolution ◽  
Range Ambiguity ◽  
Sar Imaging ◽  
Beam Range ◽  
Wide Swath

A novel range ambiguity resolving approach for high-resolution and wide-swath SAR imaging utilizing space-pulse phase coding

2020 ◽  
Vol 168 ◽  
pp. 107323 ◽  
Author(s):  
Hanbing Wang ◽  
Yuhong Zhang ◽  
Jingwei Xu ◽  
Guisheng Liao ◽  
Cao Zeng
Keyword(s):  
High Resolution ◽  
Phase Coding ◽  
Range Ambiguity ◽  
Pulse Phase ◽  
Sar Imaging ◽  
Wide Swath

scholarly journals Slow Pulse Repetition Interval Variation for High-Resolution Wide-Swath SAR Imaging

2020 ◽  
pp. 1-22
Author(s):  
Felipe Queiroz de Almeida ◽  
Marwan Younis ◽  
Pau Prats-Iraola ◽  
Marc Rodriguez-Cassola ◽  
Gerhard Krieger ◽  
...  
Keyword(s):  
High Resolution ◽  
Pulse Repetition ◽  
Slow Pulse ◽  
Sar Imaging ◽  
Repetition Interval ◽  
Wide Swath

Adaptive two-step calibration for high-resolution and wide-swath SAR imaging

2010 ◽  
Vol 4 (4) ◽  
pp. 548 ◽  
Author(s):  
L. Zhang ◽  
M.-D. Xing ◽  
C.-W. Qiu ◽  
Z. Bao
Keyword(s):  
High Resolution ◽  
Sar Imaging ◽  
Wide Swath

Errata: Digital Beamforming on Receive: Techniques and Optimization Strategies for High-Resolution Wide-Swath SAR Imaging

2013 ◽  
Vol 49 (3) ◽  
pp. 2110-2110 ◽  
Author(s):  
Nicolas Gebert ◽  
Michelangelo Villano ◽  
Gerhard Krieger ◽  
Alberto Moreira
Keyword(s):  
High Resolution ◽  
Digital Beamforming ◽  
Sar Imaging ◽  
Wide Swath

scholarly journals MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Feng Liu ◽  
Shanxiang Mu ◽  
Wanghan Lv
Keyword(s):  
Compressed Sensing ◽  
Random Phase ◽  
Zero Point ◽  
Compressive Sampling ◽  
Hardware Complexity ◽  
Range Imaging ◽  
Digital Beamforming ◽  
Range Ambiguity ◽  
Sar Imaging ◽  
Wide Swath

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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