MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing

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

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7325733 ◽

2015 ◽

Cited By ~ 6

Author(s):

G. Krieger ◽

S. Huber ◽

M. Villano ◽

M. Younis ◽

T. Rommel ◽

...

Keyword(s):

High Resolution ◽

Range Ambiguity ◽

Sar Imaging ◽

Beam Range ◽

Wide Swath

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

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2013.6558046 ◽

2013 ◽

Vol 49 (3) ◽

pp. 2110-2110 ◽

Cited By ~ 1

Author(s):

Nicolas Gebert ◽

Michelangelo Villano ◽

Gerhard Krieger ◽

Alberto Moreira

Keyword(s):

High Resolution ◽

Digital Beamforming ◽

Sar Imaging ◽

Wide Swath

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Digital beamforming for near-space wide-swath SAR imaging

2008 8th International Symposium on Antennas, Propagation and EM Theory ◽

10.1109/isape.2008.4735456 ◽

2008 ◽

Cited By ~ 6

Author(s):

Wen-Qin Wang ◽

Qicong Peng ◽

Jingye Cai

Keyword(s):

Digital Beamforming ◽

Near Space ◽

Sar Imaging ◽

Wide Swath

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ERROR ESTIMATION AND UNAMBIGUOUS RECONSTRUCTION FOR CHINESE FIRST DUAL-CHANNEL SPACEBORNE SAR IMAGING

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-2-w4-465-2017 ◽

2017 ◽

Vol IV-2/W4 ◽

pp. 465-470 ◽

Cited By ~ 1

Author(s):

T. Jin ◽

X. Qiu ◽

D. Hu ◽

C. Ding

Keyword(s):

Error Estimation ◽

Reconstruction Algorithm ◽

Estimation Algorithm ◽

Inherent Limitation ◽

Digital Beamforming ◽

Dual Channel ◽

Effective Suppression ◽

Sar Imaging ◽

Channel Mode ◽

Wide Swath

Multichannel synthetic aperture radar (SAR) is a significant breakthrough to the inherent limitation between high-resolution and wide-swath (HRWS) faced with conventional SAR. Error estimation and unambiguous reconstruction are two crucial techniques for obtaining high-quality imagery. This paper demonstrates the experimental results of the two techniques for Chinese first dualchannel spaceborne SAR imaging. The model of Chinese Gaofen-3 dual-channel mode is established and the mechanism of channel mismatches is first discussed. Particularly, we propose a digital beamforming (DBF) process composed of the subspace-based error estimation algorithm and the reconstruction algorithm before imaging. The results exhibit the effective suppression of azimuth ambiguities with the proposed DBF process, and indicate the feasibility of this technique for future HRWS SAR systems.

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