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Open AccessArticle
Rotational Motion Compensation for ISAR Imaging Based on Minimizing the Residual Norm
by
Xiaoyu Yang
Xiaoyu Yang ,
Weixing Sheng
Weixing Sheng
Dr. Weixing Sheng received their B.Sc., M.S. and Ph.D degrees
in Electronic Engineering from and in [...]
Dr. Weixing Sheng received their B.Sc., M.S. and Ph.D degrees
in Electronic Engineering from Shanghai Jiaotong University and the Nanjing University
of Science and Technology in 1988, 1991 and 2002, respectively. Since 1991, he
has been with the Nanjing University of Science and Technology, where he is
currently a Professor in the Department of Communication Engineering. His research
interests include array antenna, array signal processing and signal processing
in radar or communication systems.
*,
Annan Xie
Annan Xie and
Renli Zhang
Renli Zhang
Dr. Renli Zhang received a B.S. degree in Electronic
Information Engineering and a Ph.D. degree in [...]
Dr. Renli Zhang received a B.S. degree in Electronic
Information Engineering and a Ph.D. degree in Communication and Information
Systems from the Nanjing University of Science and Technology, Nanjing, China,
in 2008 and 2013, respectively. He worked as a Lecturer at the School of
Electronic and Optical Engineering (2013.7–2016.5), and then he was promoted to
Associate Professor in 2016. He is also a member of IEEE. His research
interests include digital beamforming, radar signal processing, and
antijamming.
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(19), 3629; https://doi.org/10.3390/rs16193629 (registering DOI)
Submission received: 31 July 2024
/
Revised: 4 September 2024
/
Accepted: 26 September 2024
/
Published: 28 September 2024
Abstract
In inverse synthetic aperture radar (ISAR) systems, image quality often suffers from the non-uniform rotation of non-cooperative targets. Rotational motion compensation (RMC) is necessary to perform refocused ISAR imaging via estimated rotational motion parameters. However, estimation errors tend to accumulate with the estimated processes, deteriorating the image quality. A novel RMC algorithm is proposed in this study to mitigate the impact of cumulative errors. The proposed method uses an iterative approach based on a novel criterion, i.e., the minimum residual norm of the signal phases, to estimate different rotational parameters independently to avoid the issue caused by cumulative errors. First, a refined inverse function combined with interpolation is proposed to perform the RMC procedure. Then, the rotation parameters are estimated using an iterative procedure designed to minimize the residual norm of the compensated signal phases. Finally, with the estimated parameters, RMC is performed on signals in all range bins, and focused images are obtained using the Fourier transform. Furthermore, this study utilizes simulated and real data to validate and evaluate the performance of the proposed algorithm. The experimental results demonstrate that the proposed algorithm shows dominance in the aspects of estimation accuracy, entropy values, and focusing characteristics.
Share and Cite
MDPI and ACS Style
Yang, X.; Sheng, W.; Xie, A.; Zhang, R.
Rotational Motion Compensation for ISAR Imaging Based on Minimizing the Residual Norm. Remote Sens. 2024, 16, 3629.
https://doi.org/10.3390/rs16193629
AMA Style
Yang X, Sheng W, Xie A, Zhang R.
Rotational Motion Compensation for ISAR Imaging Based on Minimizing the Residual Norm. Remote Sensing. 2024; 16(19):3629.
https://doi.org/10.3390/rs16193629
Chicago/Turabian Style
Yang, Xiaoyu, Weixing Sheng, Annan Xie, and Renli Zhang.
2024. "Rotational Motion Compensation for ISAR Imaging Based on Minimizing the Residual Norm" Remote Sensing 16, no. 19: 3629.
https://doi.org/10.3390/rs16193629
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