A Moving Target Imaging Algorithm for HRWS SAR/GMTI Systems

Yang, Tao; Wang, Yong; Li, Wei

doi:10.1109/taes.2017.2667858

Cited by 20 publications

(13 citation statements)

References 23 publications

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“…From Equations (5) and (6), the existence of the target motion results in a certain offset of the Doppler frequency. For a side–looking SAR system, the relationship of the cone angle and the Doppler frequency can be expressed as [ 19 ]:

…”

Section: Gaofen-3 Drc Mode and Signal Modelmentioning

confidence: 99%

“…In order to obtain the motion-adapted reconstruction filter, the radial velocity of the moving target should be accurately estimated [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. In [ 12 , 13 ], the along-track interferometry (ATI) method was applied to the RadarSAT-2 and TerraSAR-X satellites to estimate the radial velocity and obtained good results.…”

Section: Introductionmentioning

confidence: 99%

“…In [ 18 ], the radial velocity estimation is transformed to the Doppler centroid estimation based on the multilook cross-correlation, but it needs the ambiguity number resolving approach. In [ 19 , 20 ], the radial velocity estimation issue is transformed to the cone angle estimation according to their relationship. These methods are accurate, with the shortcoming of needing additional searching process.…”

Section: Introductionmentioning

confidence: 99%

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Unambiguous Imaging of Static Scenes and Moving Targets with the First Chinese Dual-Channel Spaceborne SAR Sensor

Jin

Qiu

et al. 2017

Sensors

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Multichannel synthetic aperture radar (SAR) is a breakthrough given the inherent limitation between high-resolution and wide-swath (HRWS) faced with conventional SAR. This paper aims to obtain unambiguous imaging of static scenes and moving targets with the first Chinese dual-channel spaceborne SAR sensor. We propose an integrated imaging scheme with the dual-channel echoes. In the imaging scheme, the subspace-based error estimation algorithm is first applied to the spaceborne multichannel SAR system, followed by the reconstruction algorithm prior to imaging. The motion-adapted reconstruction algorithm for moving target imaging is initially achieved with the spaceborne multichannel SAR system. The results exhibit an effective suppression of azimuth ambiguities and false targets with the proposed process. This paper verifies the accuracy of the subspace-based channel error estimator and the feasibility of the motion-adapted reconstruction algorithm. The proposed imaging process has prospects for future HRWS SAR systems with more channels.

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…”

Section: Gaofen-3 Drc Mode and Signal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Unambiguous Imaging of Static Scenes and Moving Targets with the First Chinese Dual-Channel Spaceborne SAR Sensor

Jin

Qiu

et al. 2017

Sensors

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“…Some methods work well for the conventional multichannel SAR system when the signals of each channel are over-sampled in the image domain [23,24]. For the HRWS SAR system, methods carried out in the signal domain to estimate velocity is proposed in References [25,26]. The method described in Reference [25] estimates the velocity by estimating the direction-of-arrival (DOA) of the signal.…”

Section: Introductionmentioning

confidence: 99%

“…For the HRWS SAR system, methods carried out in the signal domain to estimate velocity is proposed in References [25,26]. The method described in Reference [25] estimates the velocity by estimating the direction-of-arrival (DOA) of the signal. A velocity estimation algorithm proposed in Reference [26] is based on the analysis of signal subspace and noise subspace, but the method suffers from the limitation of at least one redundant channel, which means the number of RX antennas should be greater than the Doppler ambiguity number.…”

Section: Introductionmentioning

confidence: 99%

A Simultaneous Imaging Scheme of Stationary Clutter and Moving Targets for Maritime Scenarios with the First Chinese Dual-Channel Spaceborne SAR Sensor

et al. 2019

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The technique of azimuth multichannel synthetic aperture radar (SAR) system has become a potential solution to the irreconcilable conflict between high-resolution and wide-swath (HRWS) confronted with in a traditional SAR system. Unambiguous imaging, especially for a scene with moving targets, is one of the crucial research topics in the HRWS SAR system. This paper proposes a simultaneous imaging scheme of moving targets and stationary clutter for maritime scenarios. First, the moving target echoes are extracted from the stationary clutter. After that, two methods working in completely different principles are used to estimate the radial velocity of each moving target, and the estimated result is used for phase compensation. After that, the moving target echoes are added back to the stationary scene echo and sent to the reconstruction filter. Lastly, the reconstructed echo can be processed by the classical Chirp Scaling (CS) algorithm. Experiments are carried out using the Chinese GaoFen-3 dual-channel data. The estimated velocities of the moving targets are verified by automatic identification service (AIS) information, and the imaging results show that the false targets are effectively suppressed and the moving targets also return to their correct positions along the azimuth.

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A novel hypersonic vehicle-borne multichannel SAR-GMTI scheme based on adaptive sum and difference beams within eigenspace

et al. 2021

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A Moving Target Imaging Algorithm for HRWS SAR/GMTI Systems

Cited by 20 publications

References 23 publications

Unambiguous Imaging of Static Scenes and Moving Targets with the First Chinese Dual-Channel Spaceborne SAR Sensor

Unambiguous Imaging of Static Scenes and Moving Targets with the First Chinese Dual-Channel Spaceborne SAR Sensor

A Simultaneous Imaging Scheme of Stationary Clutter and Moving Targets for Maritime Scenarios with the First Chinese Dual-Channel Spaceborne SAR Sensor

A novel hypersonic vehicle-borne multichannel SAR-GMTI scheme based on adaptive sum and difference beams within eigenspace

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