A high frequency vibration compensation approach for ultrahigh resolution SAR imaging based on sinusoidal frequency modulation Fourier-Bessel transform

doi:10.23919/JSEE.2023.000059

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (4): 894-905.doi: 10.23919/JSEE.2023.000059

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles

A high frequency vibration compensation approach for ultrahigh resolution SAR imaging based on sinusoidal frequency modulation Fourier-Bessel transform

Siyu CHEN(), Yong WANG(), Rui CAO()

¹ School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China

Received:2022-01-04 Online:2023-08-18 Published:2023-08-28
Contact: Yong WANG E-mail:21b905043@stu.hit.edu.cn;wangyong6012@hit.edu.cn;caor@hit.edu.cn
About author:
CHEN Siyu was born in 1999. She received her B.S. degree in 2021 from Harbin Institute of Technology (HIT), Harbin, China. She is pursuing her Ph.D. degree in information and communication engineering from HIT. Her current research interests are signal processing and SAR imaging. E-mail: 21b905043@stu.hit.edu.cn

WANG Yong was born in 1979. He received his B.S. and M.S. degrees from Harbin Institute of Technology (HIT), Harbin, China, in 2002 and 2004, respectively, both in electronic engineering. He received his Ph.D. degree in information and communication engineering from HIT in 2008. He is a professor with the Institute of Electronic Engineering Technology in HIT. He was elected in the Program for New Century Excellent Talents in University of Ministry of Education of China in 2012, and received the Excellent Doctor’s Degree Nomination Award in China in 2010. His main research interests are time frequency analysis of nonstationary signal, radar signal processing, and their application in synthetic aperture radar imaging. E-mail: wangyong6012@hit.edu.cn

CAO Rui was born in 1996. She received her B.S. degree in electronic information engineering and M.S. degree in 2018, in information and communication engineering and from Harbin Institute of Technology (HIT), Weihai, China, in 2020. She is pursuing her Ph.D. degree in information and communication engineering from HIT, Harbin, China. Her current research interests include radar imaging and signal processing. E-mail: caor@hit.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61871146) and the Fundamental Research Funds for the Central Universities (FRFCU5710093720)

Abstract

Abstract:

Ultrahigh resolution synthetic aperture radar (SAR) imaging for ship targets is significant in SAR imaging, but it suffers from high frequency vibration of the platform, which will induce defocus into SAR imaging results. In this paper, a novel compensation method based on the sinusoidal frequency modulation Fourier-Bessel transform (SFMFBT) is proposed, it can estimate the vibration errors, and the phase shift ambiguity can be avoided via extracting the time frequency ridge consequently. By constructing the corresponding compensation function and combined with the inverse SAR (ISAR) technique, well-focused imaging results can be obtained. The simulation imaging results of ship targets demonstrate the validity of the proposed approach.

Key words: synthetic aperture radar (SAR), high frequency vibration compensation, sinusoidal frequency modulation Fourier-Bessel transform (SFMFBT)

Siyu CHEN, Yong WANG, Rui CAO. A high frequency vibration compensation approach for ultrahigh resolution SAR imaging based on sinusoidal frequency modulation Fourier-Bessel transform[J]. Journal of Systems Engineering and Electronics, 2023, 34(4): 894-905.

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References 30

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Parameter	Value	Parameter	Value
Carrier frequency/GHz	37.5	Wavelength/m	0.008
Doppler bandwidth/Hz	5 000	Bandwidth/GHz	5
Range resolution/m	0.03	Pulse repetition frequency/Hz	6250
Azimuth resolution/m	0.04	Pulse width/μs	10
Depression angle/(°)	45	Sampling rate/GHz	6
Synthetic aperture time/s	2.1213	Platform height/m	3 000
Vibration amplitude/mm	3.9598	Aircraft speed/(m·s⁻¹)	200
Vibration frequency/Hz	20	SNR/dB	10
Vibration initial phase/rad	0	−	−

Result		Algorithm
Result		DSFMT	SFMFBT
Amplitude	Estimated value/mm	3.8487	3.9402
Amplitude	Relative error/%	2.8057	0.4950
Frequency	Estimated value/Hz	20.1802	19.9944
Frequency	Relative error/%	0.9010	0.0280
Initial phase	Estimated value/rad	−0.0263	−0.0192
Initial phase	Absolute error/rad	0.0263	0.0192

Figure	Image entropy
Fig. 9	11.2988
Fig. 10(a)	10.5643
Fig. 10(b)	8.5972

SNR/dB	Estimated value/Hz	Relative error/%
−10	19.8598	0.7010
−5	19.8654	0.6730
0	19.9640	0.1800
5	20.0165	0.0825
10	19.9944	0.0280

Dimensionality	Amplitude/(°)	Average period/s
Roll	2.500	26.4
Pitch	0.450	11.2
Yaw	0.665	33.0

A high frequency vibration compensation approach for ultrahigh resolution SAR imaging based on sinusoidal frequency modulation Fourier-Bessel transform

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Figure	Image entropy
Fig. 16	11.9644
Fig. 17(a)	11.8153
Fig. 17(b)	11.5594
Fig. 18	7.8738

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Velocity/(m·s⁻¹)	Direction/(°)
2	0