TY - JOUR
T1 - An improved airborne multichannel sar imaging method with motion compensation and range-variant channel mismatch correction
AU - Guo, Jiayi
AU - Chen, Jie
AU - Liu, Wei
AU - Li, Chunsheng
AU - Yang, Wei
N1 - Publisher Copyright:
© 2008-2012 IEEE.
PY - 2020
Y1 - 2020
N2 - To obtain a high-resolution and wide-swath image, the azimuth multichannel technique has been widely used in synthetic aperture radar (SAR) systems to overcome the contradiction between the wide swath and high pulse repetition frequency. For a high image quality, channel mismatch correction is an essential step in the multichannel SAR data imaging. However, in the case of airborne multichannel SAR, motion errors will severely degrade the performance of channel mismatch correction. To deal with this problem, this article proposes an improved airborne multichannel SAR imaging method with motion compensation, and range-variant channel mismatch correction. First, motion errors are compensated based on resampling and phase compensation. Then, the time-delay and constant gain-phase errors between channels are estimated and corrected, followed by the range-variant phase error correction based on a novel range-down-sampling method, which reduces the influence of motion errors on the channel mismatch correction significantly. Finally, simulated and real data processing results are used to demonstrate the effectiveness of the proposed method.
AB - To obtain a high-resolution and wide-swath image, the azimuth multichannel technique has been widely used in synthetic aperture radar (SAR) systems to overcome the contradiction between the wide swath and high pulse repetition frequency. For a high image quality, channel mismatch correction is an essential step in the multichannel SAR data imaging. However, in the case of airborne multichannel SAR, motion errors will severely degrade the performance of channel mismatch correction. To deal with this problem, this article proposes an improved airborne multichannel SAR imaging method with motion compensation, and range-variant channel mismatch correction. First, motion errors are compensated based on resampling and phase compensation. Then, the time-delay and constant gain-phase errors between channels are estimated and corrected, followed by the range-variant phase error correction based on a novel range-down-sampling method, which reduces the influence of motion errors on the channel mismatch correction significantly. Finally, simulated and real data processing results are used to demonstrate the effectiveness of the proposed method.
KW - Channel mismatch estimation
KW - motion compensation
KW - multichannel
KW - synthetic aperture radar (SAR)
UR - https://www.scopus.com/pages/publications/85092368738
U2 - 10.1109/JSTARS.2020.3023390
DO - 10.1109/JSTARS.2020.3023390
M3 - 文章
AN - SCOPUS:85092368738
SN - 1939-1404
VL - 13
SP - 5414
EP - 5423
JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
M1 - 9195110
ER -