A Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR

Cui, Chang; Dong, Xichao; Chen, Zhiyang; Hu, Cheng; Tian, Weiming

doi:10.3390/rs14030593

Cited by 9 publications

(10 citation statements)

References 30 publications

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“…Then, the Taylor expansion of the bistatic slant range at is performed and retained up to the fourthorder term. The bistatic slant range model can be approximated as [9] where is the first-order to fourth-order term coefficient of the bistatic slant range. Since the slant range is much larger than the channel spacing, are approximately the same for different channels, and Δ…”

Section: A Geo Sa-bsar Signal Modelingmentioning

confidence: 99%

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GEO SA-BSAR Synchronization and MTI Algorithm Based on Direct Signal and Clutter Subspace

Cui,

Dong,

Chen

2024

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

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Geosynchronous Spaceborne-Airborne Bistatic Synthetic Aperture Radar (GEO SA-BSAR), consisting of a GEO transmitter and an airborne multi-channel receiver, is a potential Moving Target Indication (MTI) system. However, such systems encounter synchronization challenges due to non-cooperative transmission and reception. Besides, the inaccurate GEO orbital position for the MTI processor construction results in a low output signal-to-noise ratio (SNR) and reduced target detection probability. To address this, this paper proposes a synchronization and MTI method based on direct signal and clutter subspace, which can enhance the output SNR for target detection even if the GEO orbital position is inaccurate. This method utilizes the direct signal to compensate for time and frequency synchronization errors. In addition, the residual error caused by the imprecise GEO orbit is estimated by approximating the clutter subspace. Next, a modified moving target indicator (MTI) processor is employed to suppress clutter and focus moving targets by using the residual error. Finally, the effectiveness of the proposed method is verified by numerical simulation experiments based on real IGSO orbital parameters.

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Section: A Geo Sa-bsar Signal Modelingmentioning

confidence: 99%

“…Recently, GEO SA-BSAR MTI has attracted much attention [5]. Some studies have concentrated on signalprocessing challenges such as spectral ambiguity [6], spectral aliasing [7,8], and space-variant Doppler parameters [9,10]. Nevertheless, these studies neglect several non-ideal factors.…”

Section: Introductionmentioning

confidence: 99%

GEO SA-BSAR Synchronization and MTI Algorithm Based on Direct Signal and Clutter Subspace

Cui,

Dong,

Chen

2024

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

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“…Therefore, the post-Doppler STAP technique can be utilized to suppress the clutter adaptively for multichannel SAR. Many relevant studies have been presented in recent years [9][10][11][12][13]. For instance, reference [9] presented a detailed analysis of the signal characteristics of target and clutter in the range-Doppler domain, and combined post-Doppler STAP with SAR imaging to propose the imaging STAP (ISTAP) method.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [10] investigated the use of prior road information to enhance the clutter suppression performance under heterogeneous scenes. In addition, [11] extended the ISTAP method to geosynchronous-orbit SAR.…”

Section: Introductionmentioning

confidence: 99%

A Method for Calculating the Optimal Velocity Search Step Size for Airborne Three-Channel SAR Adaptive Clutter Suppression

Li,

Wang,

Zhang

et al. 2024

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

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For multichannel synthetic aperture radar (SAR) ground moving target indication (GMTI) systems, the clutter suppression method based on post-Doppler space time adaptive processing technology is popular due to its excellent performance. However, to coherently integrate a target's energy of each channel, this kind of method requires a search of target's velocity, which would introduce a large computation load when the search step size is too small. While the existing studies mainly focus on improving its performance in the cases of complex scenes and geometries, the studies on optimizing the search step size are rare. To address this issue, this paper proposes a method for calculating the optimal velocity search step size of adaptive clutter suppression for the commonly used airborne threechannel SAR-GMTI systems. First, the signal models in the range Doppler domain are developed. Then, considering that both the signal-to-clutter-noise ratio loss of clutter suppression and the coherent integration gain loss are introduced by the mismatch of target's steer vector, the relationship between the coherent accumulation gain loss and the velocity search error is utilized to develop the analytical expression for the optimal velocity search step size. Experimental results validate the proposed method.

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“…SAR has unique advantages over optical sensors in terms of all-day and all-weather imaging capabilities, which is widely used in military and civil fields. Current research on SAR includes bistatic SAR imaging [1,2], spaceborne SAR [3][4][5], and moving target recognition [6][7][8], to name a few.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Backprojection Algorithm Based on Wavenumber-Domain Spectral Splicing for Monostatic and Bistatic SAR Configurations

Sun

Chen

et al. 2022

Remote Sensing

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This paper introduces a fast backprojection synthetic aperture radar (SAR) imaging algorithm based on wavenumber-domain spectral splicing. The traditional fast backprojection (FBP) algorithm establishes the polar coordinate system with the center of the sub-aperture as the origin. Therefore, the coordinates of the image obtained from each sub-aperture are different. Sub-aperture images must be projected to a uniform coordinate system before they can be coherently superimposed to form the final image, which requires a large amount of calculation. In order to deal with this problem, this paper proposes a novel imaging method, which uses the same polar coordinate system for each sub-aperture. The sub-aperture images are then spliced in the wavenumber-domain, and directly added after upsampling. This method avoids the projection from each sub-aperture to the uniform coordinate system, thus improving the imaging accuracy and efficiency. At the same time, the algorithm is suitable for various configurations, and can achieve good imaging results for bistatic forward-looking SAR and high-speed mobile platform. Finally, simulations are presented to demonstrate the effectiveness of the algorithm.

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A Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR

Cited by 9 publications

References 30 publications

GEO SA-BSAR Synchronization and MTI Algorithm Based on Direct Signal and Clutter Subspace

GEO SA-BSAR Synchronization and MTI Algorithm Based on Direct Signal and Clutter Subspace

A Method for Calculating the Optimal Velocity Search Step Size for Airborne Three-Channel SAR Adaptive Clutter Suppression

An Efficient Backprojection Algorithm Based on Wavenumber-Domain Spectral Splicing for Monostatic and Bistatic SAR Configurations

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