Dual-Channel High Frequency Vibration Compensation Processing for Terahertz SAR Imaging

Hao, Zhaoxin; Liu, Tianqu; Sun, Jinping

doi:10.1109/cisp-bmei51763.2020.9263527

Cited by 1 publication

(2 citation statements)

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“…The subsequent step is to update the auxiliary variable Z, which is similar to (16) and can be derived utilizing the soft threshold operator:…”

Section: Equalized Admm-based Thz-sar Ground Moving Target Imaging Al...mentioning

confidence: 99%

“…Chen et al [14], [15] employed the ADMM algorithm for near-field millimeter-wave (MMW) sparse multipleinput-multiple-output synthetic aperture radar (MIMO-SAR) imaging, enabling high-quality image fast reconstruction under a large dynamic range. In another work [16], ADMM was applied to THz-SAR imaging, showcasing a notable impact on the refocusing of point targets. Nevertheless, while this method notably enhances the refocusing of point targets, it does not consider the imaging of extended targets.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Equalized ADMM-Based High-Resolution Autofocusing Imaging Algorithm for THz-SAR Ground Moving Targets

Qin,

Deng,

Wang

et al. 2024

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

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Terahertz (THz) radar is well-suited for dynamic mobile target surveillance due to its high frame rates, minimal delay, and superior resolution. However, the defocusing problem caused by the motion of targets in the scene and the nonideal motion of the airborne platform severely affect synthetic aperture radar (SAR) imaging, particularly in the THz wave band. To address this issue, this paper proposes a high-resolution imaging algorithm for THz-SAR ground-moving targets using the equalized alternating direction method of multipliers (ADMM). First, the range-Doppler algorithm (RDA) is employed to generate a coarse image and extract the moving target region as the region of interest (ROI). Then the range profile can be obtained by applying the inverse fast Fourier transform (IFFT), which serves as input for the ADMM solving algorithm. Finally, the 2D image of the target is reconstructed iteratively. The algorithm fully exploits the low-rank and sparse characteristics of moving targets in the SAR image to separate them from the background. It updates the azimuthal matched filter iteratively by minimizing image entropy and designs the equalization factor to retain target details while maintaining image sparsity. This approach significantly improves focusing accuracy compared to conventional algorithms while maintaining high imaging speed without estimating Doppler parameters.

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“…The subsequent step is to update the auxiliary variable Z, which is similar to (16) and can be derived utilizing the soft threshold operator:…”

Section: Equalized Admm-based Thz-sar Ground Moving Target Imaging Al...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Equalized ADMM-Based High-Resolution Autofocusing Imaging Algorithm for THz-SAR Ground Moving Targets

Qin,

Deng,

Wang

et al. 2024

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

View full text Add to dashboard Cite

show abstract

Dual-Channel High Frequency Vibration Compensation Processing for Terahertz SAR Imaging

Cited by 1 publication

References 5 publications

An Equalized ADMM-Based High-Resolution Autofocusing Imaging Algorithm for THz-SAR Ground Moving Targets

An Equalized ADMM-Based High-Resolution Autofocusing Imaging Algorithm for THz-SAR Ground Moving Targets

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