Robust Clutter Suppression and Moving Target Imaging Approach for Multichannel in Azimuth High-Resolution and Wide-Swath Synthetic Aperture Radar

Zhang, Shuangxi; Xing, Mengdao; Xia, Xiang-Gen; Guo, Rui; Liu, Yanyang; Bao, Zheng

doi:10.1109/tgrs.2014.2327031

Cited by 55 publications

(11 citation statements)

References 66 publications

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“…Though no extra channels are needed, the huge amount of calculation makes it difficult to achieve real-time indicators. A robust MTD method suggested in Reference [28] avoided the velocity traversal process. But, for those targets in which velocities cannot match the filter, the energy will be weakened certainly, and the radial velocity information needs additional steps to obtain.…”

Section: Introductionmentioning

confidence: 99%

A Method of Marine Moving Targets Detection in Multi-Channel ScanSAR System

et al. 2020

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Azimuth multi-channel Synthetic Aperture Radar (SAR) system operated in burst mode makes high-resolution ultrawide-swath (HRUS) imaging become a reality. This kind of imaging mode has excellent application value for the maritime scenarios requiring wide-area monitoring. This paper suggests a moving target detection (MTD) method of marine scenes based on sparse recovery, which integrates detection, velocity estimation, and relocation. Firstly, the typical phenomenon of scene folding in the coarse-focused domain is introduced in detail. Given that the spatial distribution of moving vessels is highly sparse, the idea of sparse recovery is utilized to acquire the azimuth time characterizing the position of the moving target reasonably. Subsequently, the radial velocity and position information about the targets are obtained simultaneously. What makes the proposed method effective are two characteristics of the moving targets in ocean scenes, high signal-to-clutter ratio (SCR) and sparsity of the spatial distribution. Then, estimation performances under different SCR are analyzed by Monte Carlo experiments. And the actual SCR of the vessels in the ocean scene obtained by GaoFen-3 dual-receive channel mode is invoked as a reference value to verify the effectiveness. Besides, some simulation experiments demonstrate the capability to indicate marine moving targets.

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Section: Introductionmentioning

confidence: 99%

A Method of Marine Moving Targets Detection in Multi-Channel ScanSAR System

et al. 2020

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“…For the application of the algorithm, the conventional HRWS SAR imaging system needs to be extended by some additional receiving channels or transmitting channels, which makes the system complicated. In addition, a robust clutter suppression approach is proposed for HRWS SAR in Reference [22]. A group of filters is constructed to null the clutter directions and preserve the energy of the signals at the potential moving targets direction in the range compression and azimuth chirp Fourier transform frequency (RC-CFT) domain.…”

Section: Introductionmentioning

confidence: 99%

“…Conventional HRWS SAR imaging algorithms were developed for unambiguous Doppler spectrum reconstruction and azimuth ambiguity cancellation of stationary, but not moving target signals. However, the moving target imaging algorithm for the HRWS SAR systems described in the literature, such as References [11,22], only obtains a well-focused moving target image. Particularly, there are currently few studies to provide a simultaneous imaging scheme of stationary clutter and moving targets.…”

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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“…Furthermore, the cross-track (radial) and the along-track velocity are the main reasons leading to Doppler parameter variation and large range migration, which influence the accuracy of velocity estimation as well as the radar imaging quality. Obviously, this is a challenge for fast moving target imaging [5,[11][12][13][14][15][16][17][18][19]. Specifically, comparing stationary targets, the cross-track velocity of moving targets causes the Doppler centroid shift and the extra range walk migration, whereas the along-track velocity has an effect on the Doppler modulation rate [20,21].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach of Slope Detection Combined with Lv’s Distribution for Airborne SAR Imagery of Fast Moving Targets

et al. 2018

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This paper presents a fast SAR imagery algorithm for Ground Moving Target Imaging (GMTIm) based on the slope detection strategy combined with Time-Frequency Representation (TFR), which is known as Lv's Distribution (LVD). This fast imagery algorithm focuses on the solution of the ambiguity problems and relevant heavy computing load in SAR imagery. Firstly, according to the relationship between the slope of the range walk trajectory and the cross-track velocity of moving target, a new high-efficiency slope detection strategy based on gradient and level-line angle is presented in the image domain. Then, the Doppler centroid shift induced by cross-track velocity can also be obtained. Secondly, owing to the cross-track velocity estimated before, the Range Walk Migration Correction (RWMC) can be performed to concentrate the echo response of the moving target into a single range cell. Finally, due to the superior performance in representing multi-component Linear Frequency Modulation (LFM) signal, LVD is adopted here to represent the Doppler chirp rate of multiple moving targets in a Doppler Centroid Frequency and Chirp Rate domain (CFCR). The performance of the proposed algorithm is evaluated in terms of superiority and effectiveness using simulations, and the comparison between the proposed algorithm and the other conventional algorithms is also presented.

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Robust Clutter Suppression and Moving Target Imaging Approach for Multichannel in Azimuth High-Resolution and Wide-Swath Synthetic Aperture Radar

Cited by 55 publications

References 66 publications

A Method of Marine Moving Targets Detection in Multi-Channel ScanSAR System

A Method of Marine Moving Targets Detection in Multi-Channel ScanSAR System

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

A Novel Approach of Slope Detection Combined with Lv’s Distribution for Airborne SAR Imagery of Fast Moving Targets

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