Efficient Space-Variant Motion Compensation Approach for Ultra-High-Resolution SAR Based on Subswath Processing

Yang, Mingdong; Zhu, Daiyin

doi:10.1109/jstars.2018.2799601

Cited by 21 publications

(8 citation statements)

References 17 publications

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“…For the ultra-high-resolution SAR system, the image quality is sensitive to the accuracy phase. In [28], the phase mismatch induced by the approximate range envelope compensation is analysed. Therefore, in order to reduce the effect on phase mismatch, the phase compensation should be implemented before the range envelope [28].…”

Section: A Correction Of the Displacement Error In Los Directionmentioning

confidence: 99%

“…In [28], the phase mismatch induced by the approximate range envelope compensation is analysed. Therefore, in order to reduce the effect on phase mismatch, the phase compensation should be implemented before the range envelope [28]. In practical, the record data of POS system corresponds to the actual trajectory, which distinguishes from the slant range relative to the nominal trajectory of the conventional one-step MOCO algorithm.…”

Section: A Correction Of the Displacement Error In Los Directionmentioning

confidence: 99%

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Very High Resolution SAR Imaging With DGPS-Supported Airborne X-Band Data

Zhou

Wang

Chen

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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High spatial resolution imaging in synthetic aperture radar (SAR) can provide accurate monitoring capacity and has been gaining great attention recently in the fields of military and civilian. Apparently, the slant range resolution of SAR system depends on the radar operating bandwidth. Currently, the large bandwidth signal synthesizing technology of the stepped frequency chirp signal waveform is highly practical for achieving high spatial resolution. However, the system structure and the corresponding signal processing technology become more complex. In order to verify the feasibility and operability of the large full-bandwidth system, a 3.6 GHz full-bandwidth airborne experimental SAR system operating at X-Band, featured by full-bandwidth transmitting and receiving, has been designed by the Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences, as a test bed for the development and implementation of the future spaceborne realizations. For this large full-bandwidth SAR system, in addition to the hardware resource, the motion compensation is an urgent problem. The improvement of spatial resolution will aggravate the effect of motion errors. In order to focus the SAR images accurately, this paper presents a technical approach by utilizing the Differential GPS (DGPS) technology to improve the position accuracy of IMU device. Meanwhile, considering the significant deviation of RCMC due to the residual range-variant errors, this paper proposes an accurate MOCO strategy with DGPS-supported to implement the second-MOCO, space-variant residual range envelope and spacevariant residual phase error in azimuth before RCMC. Finally, this paper presents the outfield experiment and reports the corresponding analysis and processing results of an outfield flight experiment successfully conducted in March 2019. Index Terms-Synthetic aperture radar (SAR), 3.6 GHz fullbandwidth, high spatial resolution imaging.

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Section: A Correction Of the Displacement Error In Los Directionmentioning

confidence: 99%

Section: A Correction Of the Displacement Error In Los Directionmentioning

confidence: 99%

Very High Resolution SAR Imaging With DGPS-Supported Airborne X-Band Data

Zhou

Wang

Chen

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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show abstract

“…Synthetic Aperture Radar (SAR) is an active sensor that transmits a beam of electromagnetic radiation in order to extend human ability to observe properties of the surface of the earth [1]. As an effective means for remote sensing, SAR is capable of providing high resolution images and videos for target surveillance under any weather condition [2][3][4][5][6][7]. With the development of SAR, robustness to missing raw data raises concern due to sparse and irregular sampling in SAR raw data caused by new mission requirements, sensor geometries, jamming, interference, and so on [8].…”

Section: Introductionmentioning

confidence: 99%

High Resolution Imaging from Azimuth Missing SAR Raw Data via Segmented Recovery

Qian

Zhu

2019

Electronics

Self Cite

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Synthetic Aperture Radar (SAR) raw data missing occurs when radar is interrupted by various influences. In order to cope with this problem, a new method is proposed to focus the azimuth missing SAR raw data via segmented recovery in this paper. A reference function in time domain is designed to make the missing raw data sparser in two dimensional frequency domain. Afterwards, greedy algorithms are available to recover the missing data in two dimensional frequency domain. In addition, in order to avoid range frequency aliasing problem caused by reference function multiplication in time domain, the missing raw data is split into several parts in range direction and is recovered with a segmented recovery strategy. Then, the recovered raw data is available to be focused with traditional SAR imaging algorithms. The range migration algorithm is chosen to deal with the recovered raw data in this paper. Point target and area target simulations are carried out to validate the effectiveness of the proposed method on azimuth missing SAR raw data. Moreover, the proposed method is implemented on real SAR data in order to further provide convincing demonstration.

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“…Synthetic aperture radar (SAR) is an active microwave sensor which is capable to accommodate multiple missions in order to monitor the surface of the earth under all‐weather condition [1–6]. The future mission for high‐resolution spaceborne SAR imaging requires resolution to achieve decimetre or higher level so as to demonstrate more details [7].…”

Section: Introductionmentioning

confidence: 99%