The Processing Framework and Experimental Verification for the Noninterrupted Synchronization Scheme of LuTan-1

Liang, Da; Liu, Kaiyu; Zhang, Heng; Chen, Yafeng; Yue, Haixia; Liu, Dacheng; Deng, Yunkai; Lin, Haoyu; Fang, Tingzhu; Wang, Robert

doi:10.1109/tgrs.2020.3024561

Cited by 28 publications

(14 citation statements)

References 30 publications

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“…2) LuTan-1: LuTan-1 (LT-1), also known as TwinSAR-L mission, is an innovative spaceborne bistatic SAR mission based on the use of two radar satellites operating in the L-band with flexible formation flying, to generate the global digital terrain models in the bistatic interferometry mode [146]. Several articles about the LT-1 phase synchronization scheme have been published [146]- [149]. The algorithm, proposed in [147], considers the time multiplexing of the synchronization pulses with the radar pulse-repetition intervals avoiding any interference in the SAR data acquisition.…”

Section: B Remote Sensingmentioning

confidence: 99%

“…Besides, [146] proposed a KF phase-error estimation and compensation method, which improves the synchronization accuracy for low Signal-to-Noise Ratio (SNR). On the other hand, [148] evaluated the performance of the LT-1's synchronization scheme for multipath effects, and [149] presents its experimental verification. 3) ConGaLSAR: A Constellation of Geostationary and LEO SAR (ConGaLSAR) radars has been proposed in [137].…”

Section: B Remote Sensingmentioning

confidence: 99%

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Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

et al. 2022

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Cohesive Distributed Satellite Systems (CDSSs) is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requirements before their use is generalized. When clock or local oscillator signals are generated locally at each of the distributed nodes, achieving exact synchronization in absolute phase, frequency, and time is a complex problem. In addition, satellite systems have significant resource constraints, especially for small satellites, which are envisioned to be part of the future CDSSs. Thus, the development of precise, robust, and resource-efficient synchronization techniques is essential for the advancement of future CDSSs. In this context, this survey aims to summarize and categorize the most relevant results on synchronization techniques for Distributed Satellite Systems (DSSs). First, some important architecture and system concepts are defined. Then, the synchronization methods reported in the literature are reviewed and categorized. This article also provides an extensive list of applications and examples of synchronization techniques for DSSs in addition to the most significant advances in other operations closely related to synchronization, such as inter-satellite ranging and relative position. The survey also provides a discussion on emerging data-driven synchronization techniques based on Machine Learning (ML). Finally, a compilation of current research activities and potential research topics is proposed, identifying problems and open challenges that can be useful for researchers in the field.

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Section: B Remote Sensingmentioning

confidence: 99%

Section: B Remote Sensingmentioning

confidence: 99%

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

et al. 2022

View full text Add to dashboard Cite

show abstract

“…2) LuTan-1: LuTan-1 (LT-1), also known as TwinSAR-L mission, is an innovative spaceborne bistatic SAR mission based on the use of two radar satellites operating in the L-band with flexible formation flying, to generate the global digital terrain models in the bistatic interferometry mode [144]. Several articles about the LT-1 phase synchronization scheme have been published [144] [145] [146] [147]. The algorithm, proposed in [145], considers the time multi-plexing of the synchronization pulses with the radar pulse-repetition intervals avoiding any interference in the SAR data acquisition.…”

Section: ) Argos: the Advanced Radar Geosynchronous Ob-mentioning

confidence: 99%

“…Besides, [144] proposed a KF phase-error estimation and compensation method, which improves the synchronization accuracy for low SNR. On the other hand, [146] evaluated the performance of the LT-1's synchronization scheme for multipath effects, and [147] presents its experimental verification. 3) ConGaLSAR: A Constellation of Geostationary and LISA SAR (ConGaLSAR) radars has been proposed in [136].…”

Section: ) Argos: the Advanced Radar Geosynchronous Ob-mentioning

confidence: 99%

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

Marrero¹,

Duncan²,

Querol³

et al. 2022

Preprint

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CDSS is a key enabling technology for the future of remote sensing and communication missions. However, they have to meet strict synchronization requirements before their use is generalized. When clock or local oscillator signals are generated locally at each of the distributed nodes, achieving exact synchronization in absolute phase, frequency, and time is a complex problem. In addition, satellite systems have significant resource constraints, especially for small satellites, which are envisioned to be part of the future CDSS. Thus, the development of precise, robust, and resource-efficient synchronization techniques is essential for the advancement of future CDSS. In this context, this survey aims to summarize and categorize the most relevant results on synchronization techniques for DSS. First, some important architecture and system concepts are defined. Then, the synchronization methods reported in the literature are reviewed and categorized. This article also provides an extensive list of applications and examples of synchronization techniques for DSS in addition to the most significant advances in other operations closely related to synchronization, such as inter-satellite ranging and relative position. The survey also provides a discussion on emerging data-driven synchronization techniques based on ML. Finally, a compilation of current research activities and potential research topics is proposed, identifying problems and open challenges that can be useful for researchers in the field.

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“…1) Synchronization phase error compensation: The independent oscillators are used in the transmitter and receivers, and any deviation between the oscillators will cause a residual modulation of the recorded SAR raw data [27], [28]. An advanced non-interrupted synchronization scheme is adopted in the LuTan-1 (LT-1) mission [29], and the LT-1 is a spaceborne BiSAR mission. For the spaceborne cooperative M-SAR system, the synchronization scheme used in the current BiSAR system can be used for reference.…”

Section: A Pre-processingmentioning

confidence: 99%

An Imaging Method for Spaceborne Cooperative Multistatic SAR Formations With Nonzero Cross-Track Baselines

Lin

Deng

Zhang

et al. 2022

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

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Spaceborne multistatic synthetic aperture radar (M-SAR) formations can deploy multiple spatially separated receiving phase centers along the along-track (AT) direction to achieve high-resolution wide-swath. However, the cross-track (XT) separation between the spacecraft is inevitable due to the formation design like orbital safety and application potential like the XT interferometry. In addition, the different motion vectors of two or more satellites caused by the Helix formation will lead to the difference of the Doppler parameters at the same range gate. Therefore, nonzero XT baselines and space-variant characteristics pose new challenges to the focusing and phase-preserving of the M-SAR imaging. To this end, an imaging method for spaceborne cooperative M-SAR formations with nonzero XT baselines is proposed in this paper. Firstly, an spaceborne cooperative M-SAR formation is demonstrated. Afterwards, the imaging method is described in detail. The motion compensation technology and the idea of partitioned equivalent velocity are adopted to solve the problems of nonzero XT baselines and spacevariant characteristics, respectively. Finally, the simulations of point targets and distributed targets are carried out to verify the proposed method, and the results show that the precise focusing of spaceborne cooperative M-SAR with nonzero XT baselines can be achieved by the proposed imaging method.Index Terms-Multistatic synthetic aperture radar (M-SAR), M-SAR formations, M-SAR imaging processing, nonzero crosstrack(XT) baselines. I. INTRODUCTIONS PACEBORNE multistatic synthetic aperture radar (SAR) is an extension of the concept of bistatic SAR (BiSAR), which is characterized by deploying multiple physically separate transceiver to obtain three or more simultaneous echo data sets [1], [2]. Multistatic SAR (M-SAR) has many unique characteristics that meet the application requirements of the nextgeneration spaceborne SAR system, such as high-resolution wide-swath (HRWS) imaging, along-track (AT) interferometry, cross-track (XT) interferometry and so on, so it has received extensive attention [3]-[5]. Another trend is adopting cheaper systems with the intention to shift the complexity from the space segment to software. Thus, small satellites which received echoes only can be deployed in the formation of M-

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The Processing Framework and Experimental Verification for the Noninterrupted Synchronization Scheme of LuTan-1

Cited by 28 publications

References 30 publications

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

Architectures and Synchronization Techniques for Distributed Satellite Systems: A Survey

An Imaging Method for Spaceborne Cooperative Multistatic SAR Formations With Nonzero Cross-Track Baselines

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