A Novel SAR Ground Maneuvering Target Imaging Method Based on Adaptive Phase Tracking

Du, Huagui; Song, Yongping; Jiang, Nan; An, Daoxiang; Wang, Wu; Fan, Chongyi; Huang, Xiaotao

doi:10.1109/tgrs.2023.3294252

Cited by 8 publications

(3 citation statements)

References 48 publications

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“…Linear phase error only results in an azimuthal shift of the image, which does not affect the image quality [37]. Quadratic and higher-order phase errors are the main cause of image defocusing [38,39]. It is generally required to keep the quadratic phase error within π/4, which will result in less than 2% main lobe broadening [15].…”

Section: Deterministic Errormentioning

confidence: 99%

Impact Analysis and Compensation Methods of Frequency Synchronization Errors in Distributed Geosynchronous Synthetic Aperture Radar

Sun,

Chen,

Zhou

et al. 2024

Remote Sensing

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Frequency synchronization error, as one of the inevitable technical challenges in distributed synthetic aperture radar (SAR), has different impacts on different SAR systems. Multi-monostatic SAR is a typical distributed configuration where frequency synchronization errors are tiny in distributed airborne and low earth orbit (LEO) SAR systems. However, due to the long time delay and long synthetic aperture time, the imaging performance of a multi-monostatic geosynchronous (GEO) SAR system is affected by frequency oscillator errors. In this paper, to investigate the frequency synchronization problem in this configuration, we firstly model the echo signals with the frequency synchronization errors, which can be divided into fixed frequency errors and random phase noise. Secondly, we talk about the impacts of the two kinds of errors on imaging performance. To solve the problem, we thirdly propose an autofocus back-projection (ABP) algorithm, which adopts the coordinate descent method and iteratively adjusts the phase error estimation until the image reaches its maximum sharpness. Based on the characteristics of the frequency synchronization errors, we further propose the Node ABP (NABP) algorithm, which greatly reduces the amount of storage and computation compared to the ABP algorithm. Finally, simulations are carried out to validate the effectiveness of the ABP and NABP algorithms.

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Section: Deterministic Errormentioning

confidence: 99%

Impact Analysis and Compensation Methods of Frequency Synchronization Errors in Distributed Geosynchronous Synthetic Aperture Radar

Sun,

Chen,

Zhou

et al. 2024

Remote Sensing

Self Cite

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“…For parameter estimation methods of moving targets, such as fractional Fourier transform (FRFT) [6] , Wigner-Hough transform [7] and 2-D scale Fourier transform (2D-SCFT) [8][9] can estimate second-order Doppler parameters. For moving targets with acceleration, the influence of third-order or even fourth-order Doppler parameters on imaging cannot be ignore [10] . Therefore, literature [11] proposes a parameter estimation method based on polynomial Fourier transform, in which second and third-order Doppler parameters are estimated from the 2-D parameter search, but the computation amount will be greatly increased.…”

Section: Introductionmentioning

confidence: 99%

High resolution moving targets imaging algorithm of FMCW SAR

He,

Tan,

et al. 2024

Fourth International Conference on Sensors and Information Technology (ICSI 2024)

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In this paper, the problem of parameter estimation and imaging of ground accelerated moving targets with frequency modulated continuous wave synthetic aperture radar (FMCW SAR) is studied. First, a fourth-order moving target echo model is established in FMCW SAR system, and the coefficient estimation of the azimuth signal based on adaptive local polynomial Fourier transform (ALPFT) is proposed. Secondly, the range migration term is corrected by generalized Keystone transform and Hough transform. Finally, by compensating the high-order Doppler phase and azimuth resampling the edge moving targets, all moving targets in the scene can be focused well. Simulation results verify the feasibility and effectiveness of the proposed method.

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“…S YNTHETIC Aperture Radar (SAR) imaging systems offer the advantage of operating independently of time and weather conditions, making them widely utilized in both military and civilian applications [1]- [8]. However, achieving fast and accurate analog-to-digital conversion (ADC) requires expensive hardware enhancements.…”

Section: Introductionmentioning

confidence: 99%

Sparse Logistic Regression-Based One-Bit SAR Imaging

Ge,

Feng,

Song

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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One-bit synthetic aperture radar (SAR) imaging has garnered significant interest due to its ability to lower the cost of storing enormous amounts of data during sampling and transmission, as well as the expense of analog-to-digital converters (ADCs). However, existing one-bit SAR imaging methods suffer from high computational complexity and artifacts in the resulting images. To address these problems, the sparse logic regression model (SLR) solved by iterative hard threshold (IHT) is applied to one-bit SAR imaging, and a new SLR-IHT imaging method is proposed. The SLR-IHT method models the one-bit SAR imaging problem as an SLR task and optimizes the solution using the IHT framework. By leveraging the joint sparsity of the real and imaginary components, the proposed method enhances imaging quality while effectively suppressing artifacts. To accelerate computation, the Armijo step size criterion is employed to adjust the step size and support set during the iterative procedure. Moreover, a theoretical investigation into the convergence properties of the proposed method was conducted. Extensive simulations and real data experiments are conducted to evaluate the performance of the SLR-IHT method. The results demonstrate its superiority over existing one-bit SAR imaging techniques in terms of imaging quality and computational efficiency.

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A Novel SAR Ground Maneuvering Target Imaging Method Based on Adaptive Phase Tracking

Cited by 8 publications

References 48 publications

Impact Analysis and Compensation Methods of Frequency Synchronization Errors in Distributed Geosynchronous Synthetic Aperture Radar

Impact Analysis and Compensation Methods of Frequency Synchronization Errors in Distributed Geosynchronous Synthetic Aperture Radar

High resolution moving targets imaging algorithm of FMCW SAR

Sparse Logistic Regression-Based One-Bit SAR Imaging

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