Geosynchronous Spaceborne-Airborne Bistatic Moving Target Indication System: Performance Analysis and Configuration Design

Dong, Xichao; Cui, Chang; Li, Yuanhao; Hu, Cheng

doi:10.3390/rs12111810

Cited by 13 publications

(6 citation statements)

References 36 publications

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“…According to the principle of error propagation, the estimated parameter accuracies are different. Details about the relationship between the bistatic configuration and parameter estimation accuracy can be seen in [29]. The moving target has been located to its real position, and its velocity has been estimated accurately.…”

Section: Simulations Of Single Pointmentioning

confidence: 99%

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

et al. 2022

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A geosynchronous spaceborne-airborne bistatic synthetic aperture radar (GEO SA-BSAR) system is an important technique to achieve long-time moving target monitoring over a wide area. However, due to special bistatic configuration of GEO SA-BSAR, two major challenges, i.e., severe range migration and space-variant Doppler parameters for moving targets, hinder the moving target indication (MTI) processing. Traditional SAR MTI methods, which do not take the challenges into consideration, will defocus the moving targets, leading to a loss of the signal-to-noise ratio (SNR). To focus moving targets and estimate motion parameters accurately, long-time coherent integration space-time adaptive processing (LTCI-STAP) is proposed for GEO SA-BSAR MTI in this paper. First, a modified adaptive spatial filtering based on the bistatic signal model is performed to suppress the clutter. Then, an LTCI filter bank is constructed to achieve range migration correction and moving target focusing, which yields the optimal output signal and filtering parameters. Finally, constant false alarm rate (CFAR) detection is carried out to determine the targets, and the space-variant Doppler parameters, solved from the filtering parameters, are used for estimating moving target positions and velocities. Simulations verify the effectiveness of our method.

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Section: Simulations Of Single Pointmentioning

confidence: 99%

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

et al. 2022

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“…It makes secondary use of the transmit signal of GEO SAR and decreases the receiver's slant range to improve the signal-to-noise ratio (SNR), expanding the application potential of GEO SAR in moving target indication (MTI) [3,4]. 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].…”

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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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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“…However, the bistatic and multi-static SAR systems are becoming increasingly popular due to their greater information acquisition capabilities [7][8][9]. Geosynchronous (GEO) spaceborne-airborne very high-frequency ultra-wideband bistatic synthetic aperture radar (VHF UWB BiSAR) has the advantages of a short revisit period, flexible mobility, wide detection range, good concealment, and strong penetration, and it can carry out highresolution and wide-swath imaging of ocean scenes [10][11][12]. In recent years, the GEO satellite-unmanned aerial vehicle (GEO-UAV) VHF UWB BiSAR has become a new regime of the BiSAR system, making it a research hotspot [13].…”

Section: Introductionmentioning

confidence: 99%

Fast Factorized Backprojection Algorithm in Orthogonal Elliptical Coordinate System for Ocean Scenes Imaging Using Geosynchronous Spaceborne–Airborne VHF UWB Bistatic SAR

Xie

Zhang³

et al. 2023

Remote Sensing

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Geosynchronous (GEO) spaceborne–airborne very high-frequency ultra-wideband bistatic synthetic aperture radar (VHF UWB BiSAR) can conduct high-resolution and wide-swath imaging for ocean scenes. However, GEO spaceborne–airborne VHF UWB BiSAR imaging faces some challenges such as the geometric configuration, huge amount of echo data, serious range–azimuth coupling, large spatial variance, and complex motion error, which increases the difficulty of the high-efficiency and high-precision imaging. In this paper, we present an improved bistatic fast factorization backprojection (FFBP) algorithm for ocean scene imaging using the GEO satellite-unmanned aerial vehicle (GEO-UAV) VHF UWB BiSAR, which can solve the above issues with high efficiency and high precision. This method reconstructs the subimages in the orthogonal elliptical polar (OEP) coordinate system based on the GEO satellite and UAV trajectories as well as the location of the imaged scene, which can further reduce the computational burden. First, the imaging geometry and signal model of the GEO-UAV VHF UWB BiSAR are established, and the construction of the OEP coordinate system and the subaperture imaging method are proposed. Moreover, the Nyquist sampling requirements for the subimages in the OEP coordinate system are derived from the range error perspective, which can offer a near-optimum tradeoff between precision and efficiency. In addition, the superiority of the OEP coordinate system is analyzed, which demonstrates that the angular dimensional sampling rate of the subimages is significantly reduced. Finally, the implementation processes and computational burden of the proposed algorithm are provided, and the speed-up factor of the proposed FFBP algorithm compared with the BP algorithm is derived and discussed. Experimental results of ideal point targets and natural ocean scenes demonstrate the correctness and effectiveness of the proposed algorithm, which can achieve near-optimal imaging performance with a low computational burden.

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Geosynchronous Spaceborne-Airborne Bistatic Moving Target Indication System: Performance Analysis and Configuration Design

Cited by 13 publications

References 36 publications

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

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

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

Fast Factorized Backprojection Algorithm in Orthogonal Elliptical Coordinate System for Ocean Scenes Imaging Using Geosynchronous Spaceborne–Airborne VHF UWB Bistatic SAR

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