Multichannel Sliding Spotlight SAR Imaging: First Result of GF-3 Satellite

Fang, Tingzhu; Deng, Yunkai; Liang, Da; Zhang, Lei; Zhang, Heng; Fan, Huaitao; Yu, Weidong

doi:10.1109/tgrs.2021.3068208

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…In the case of a multistatic SAR system in which a transmitter and a receiver are separated, an image analysis process for the relative position and attitude of each satellite must be performed in addition to the factors that a monostatic SAR system must consider [1]. The multistatic SAR image is analyzed through an impulse response function (IRF) for a point target that can measure various image quality parameters [15]. In addition, the range and azimuth profiles, which represent the amplitude of the received signal in the range and azimuth directions based on the center of the point target of the IRF, can explain the spatial resolution, Peak sidelobe ratio (PSLR), and Integrated sidelobe ratio (ISLR) of the SAR images.…”

Section: Performance Verification and Image Analysis Of A Multistatic...mentioning

confidence: 99%

“…Spotlight mode imaging cannot observe a wide area due to the narrow swath width and discontinuous imaging techniques [1,4]. Methods such as sliding spotlight mode were proposed to widen the observation area while maintaining a high resolution, but continuous SAR imaging was physically impossible in monostatic SAR systems [4,15]. Lopez-Dekker et al [1] introduced a multistatic SAR concept that can overcome the limitations of monostatic SAR systems for azimuth resolution.…”

Section: Introductionmentioning

confidence: 99%

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Mission Design and Orbit-Attitude Control Algorithms Development of Multistatic SAR Satellites for Very-High-Resolution Stripmap Imaging

et al. 2022

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This study designs a multistatic synthetic aperture radar (SAR) formation-flying system for very-high-resolution stripmap imaging (VHRSI) using manufacturable SAR microsatellites. Multistatic SAR formation specifications for VHRSI are derived based on the SAR image theory. For the simultaneous multi-satellite operation, the advantages of the autonomous orbit and attitude control are prominent in terms of the workload of the ground station or the efficient performance of missions. Therefore, the autonomous relative-orbit-control algorithm using relative orbital elements is developed to maintain the designed multistatic SAR formation. Additionally, an autonomous attitude-control algorithm for multistatic SAR imaging is designed by applying the optimal right-ascension of the descending node (RADN) sector concept. Finally, the resolution improvement of VHRSI is verified through multistatic SAR imaging simulations. The multistatic SAR formation is designed with three satellites separated by 7.5 km each in the along-track direction. Autonomous relative orbit control maintains the relative position error within 45 m (3σ). Additionally, the autonomous attitude control simulation verifies that the satellites perform attitude maneuvers suitable for the operation mode, and the pointing error is maintained within 0.0035° (3σ). The spatial resolution of the multistatic SAR system for VHRSI is 0.95 × 0.96 m, which satisfies the very-high-spatial-resolution requirement.

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Section: Performance Verification and Image Analysis Of A Multistatic...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mission Design and Orbit-Attitude Control Algorithms Development of Multistatic SAR Satellites for Very-High-Resolution Stripmap Imaging

et al. 2022

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“…In order to use the autofocus operation to estimate and correct the residual motion error in the slow time domain, the aliasing in the slow time domain should be removed. Plenty of approaches had been proposed [5], [17], [18], [20], [21] to deal with this problem, but in this study, the approaches proposed in [5], [18], [21] are used because the signal after RCMC is on azimuth frequency domain.…”

Section: De-aliasing In Slow Time Domainmentioning

confidence: 99%

“…The proposed approach introduces two tasks after the first step of the traditional TSA. The first task is solving the aliasing in the slow time domain after the TSA using the convolution between the data and a chirp signal in the Doppler domain [17], [18]. This task is used to enable the error estimation and compensation in the slow time domain.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Full-Aperture Approach for Airborne Spotlight SAR Data Processing Based on Time-Domain Dealiasing

Ren

Zhang

Weidong

et al. 2022

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

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The two-step approach (TSA) is an efficient fullaperture method to solve the Doppler spectrum aliasing when processing data acquired by a synthetic aperture radar (SAR) system operating in beam steering mode. This simple approach solves the spectral aliasing by implementing an azimuth convolution between the raw data and a chirp signal, thus avoiding complex sub-aperture division and recombination of sub-aperture approaches. However, as aliasing reoccurs in the slow time domain after the convolution, the estimation and compensation for residual motion error by autofocus cannot be performed immediately, which is crucial for airborne and high-resolution spaceborne SAR processing. The extended TSA (ETSA) solves this problem by implementing full-aperture azimuth scaling, but it is inefficient when the scaling factor deviates from unity severely, which is common in the data acquisition geometry of an airborne SAR. Aiming at addressing the existing shortcomings, this paper combines the TSA with autofocus by the time-domain de-aliasing and provides an efficient full-aperture processing framework of airborne spotlight SAR data. Simulated and experimental airborne spotlight SAR data with the transmission signal bandwidth of 1.2 GHz and a coherent integration angle of 15 • are processed by the proposed algorithm and the clarity of the processed results show its effectiveness.

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A Full-Aperture Frequency Scaling Algorithm for Processing Dechirped Sliding Spotlight SAR Data

Kang,

Park

2023

IEEE Access

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Multichannel Sliding Spotlight SAR Imaging: First Result of GF-3 Satellite

Cited by 5 publications

References 30 publications

Mission Design and Orbit-Attitude Control Algorithms Development of Multistatic SAR Satellites for Very-High-Resolution Stripmap Imaging

Mission Design and Orbit-Attitude Control Algorithms Development of Multistatic SAR Satellites for Very-High-Resolution Stripmap Imaging

An Efficient Full-Aperture Approach for Airborne Spotlight SAR Data Processing Based on Time-Domain Dealiasing

A Full-Aperture Frequency Scaling Algorithm for Processing Dechirped Sliding Spotlight SAR Data

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