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

Yang, Junying; Qiu, Xiaolan; Zhong, Lihua; Shang, Mingyang; Ding, Chibiao

doi:10.3390/rs11192275

Cited by 17 publications

(20 citation statements)

References 27 publications

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“…In the multi-channel system, the unambiguous imaging algorithm is developed for static scenes. But, for moving targets, azimuth Doppler ambiguity still exists after imaging [34]. The moving target detection method operating in the coarse-focused domain proposed in this paper avoids the adverse effect of Doppler ambiguity.…”

Section: Different Scenesmentioning

confidence: 99%

“…But, in some applications, we hope to get an unambiguous imaging result of moving targets free from the false targets and expect the moving targets to focus on their correct positions instead of just marking them. An unambiguous imaging scheme of moving targets for maritime scenarios is proposed in Reference [34]. One of the important steps is to compensate for the phase term introduced by the radial velocity.…”

Section: Unambiguous Imaging Of Moving Targetsmentioning

confidence: 99%

“…Because there are many sophisticated methods to estimate the imbalance between channels, these techniques will be completed in advance by the data preprocessing process [30][31][32]. In addition, the along-track velocity will only cause the defocus of the target and has no impact on the relocation like the radial velocity [33,34]. Moreover, the unfocused moving target can be well refocused in the image domain by the autofocus technique [35,36].…”

Section: Introductionmentioning

confidence: 99%

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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: Different Scenesmentioning

confidence: 99%

Section: Unambiguous Imaging Of Moving Targetsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…Although imaging a wide swath unambiguously limits the pulse repetition frequency (PRF) of the system, collecting signals by multiple channels simultaneously is equivalent to an increased effective sampling rate on receive. Thus, the azimuth multi-channel system could sample the signal with a large Doppler bandwidth with a sufficiently high PRF, which corresponds to the high resolution [13]. In addition, to obtain an ultrawide swath, the azimuth multi-channel ScanSAR system switches the antenna footprint between several sub-swathes [14].…”

Section: Introductionmentioning

confidence: 99%

Phase Imbalance Estimation for Azimuth Multi-Channel ScanSAR System

Yang

Qiu

Shang

et al. 2021

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

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The new concept of combining the azimuth multichannel synthetic aperture radar (SAR) system with the Scan mode was put forward to meet the requirements of future developments in high-resolution and ultrawide-swath (HRUS) SAR design. However, the phase imbalance between channels is inevitable, which will greatly reduce the quality of the image. This paper proposed an approach of phase imbalance estimation for azimuth multi-channel ScanSAR system. For this, the particularity of the target Doppler spectrum in Scan mode is analyzed firstly. Then, the theoretical derivation reveals the equivalence of scene ambiguity and Doppler spectrum ambiguity. Subsequently, the main idea of the proposed approach is to determine the index of the ambiguous component of the target in the Doppler spectrum by the sparse recovery method. The equivalent multi-channel ScanSAR real measured data experiment demonstrates the effectiveness of the proposed approach. Compared with the estimation results of the signal subspace comparison method (SSCM), the proposed method shows better performance. Finally, the details in the implementation process of the proposed algorithm are described by combining theoretical analysis with simulation experiments.

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“…As a mature remote-sensing technology, synthetic aperture radar (SAR) can realize all-day and all-weather imaging of the Earth's surface, and it plays a vital role in Earth observation and remote sensing [1][2][3][4][5]. With the development of remote-sensing application demand in recent years, SAR is expected to observe a wide range of scenes while having the ability to detect small targets.…”

Section: Introductionmentioning

confidence: 99%

An Azimuth Signal-Reconstruction Method Based on Two-Step Projection Technology for Spaceborne Azimuth Multi-Channel High-Resolution and Wide-Swath SAR

Zhang

Zhao

et al. 2021

Remote Sensing

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Azimuth non-uniform signal-reconstruction is a critical step for azimuth multi-channel high-resolution wide-swath (HRWS) synthetic aperture radar (SAR) data processing. However, the received non-uniform signal has noise in the actual azimuth multi-channel SAR (MCSAR) operation, which leads to the serious reduction in the signal-to-noise ratio (SNR) of the results processed by a traditional reconstruction algorithm. Aiming to address the problem of reducing the SNR of the traditional reconstruction algorithm in the reconstruction of non-uniform signal with noise, a novel signal-reconstruction algorithm based on two-step projection technology (TSPT) for the MCSAR system is proposed in this paper. The key part of the TSPT algorithm consists of a two-step projection. The first projection is to project the given signal into the selected intermediate subspace, spanned by the integer conversion of the compact support kernel function. This process generates a set of sparse equations, which can be solved efficiently by using the sparse equation solver. The second key projection is to project the first projection result into the subspace of the known sampled signal. The secondary projection can be achieved with a digital linear translation invariant (LSI) filter and generate a uniformly spaced signal. As a result, compared with the traditional azimuth MCSAR signal-reconstruction algorithm, the proposed algorithm can improve SNR and reduce the azimuth ambiguity-signal-ratio (AASR). The processing results of simulated data and real raw data verify the effectiveness of the proposed algorithm.

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

Cited by 17 publications

References 27 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

Phase Imbalance Estimation for Azimuth Multi-Channel ScanSAR System

An Azimuth Signal-Reconstruction Method Based on Two-Step Projection Technology for Spaceborne Azimuth Multi-Channel High-Resolution and Wide-Swath SAR

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