Zitao Liu

ISAR imaging of space targets based on joint estimation of translational and rotational parameters

Zitao Liu, Zhao Jiang, Jie Wei, Y Jiang

To enhance the resolution of Inverse Synthetic Aperture Radar (ISAR) imaging for space targets using ground-based radar, a relatively large observation angle is required. However, large rotation angles cause Range Cell Migration (RCM), which leads to image blurring and increases the estimation …

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Enhanced multistatic ISAR 3D reconstruction via fusion of monostatic results

B Z Liu, Y Jiang, Jie Wei, Zitao Liu

The monostatic inverse synthetic aperture radar (ISAR) three-dimensional (3D) reconstruction technique based on image sequence effectively enhances space surveillance capabilities. However, the limited observation angle of monostatic radar prevents the acquisition of the complete 3D structure of targets. To address this issue, …

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Multi-component cubic phase signal estimation via multi-modal parrot optimizer for ISAR imaging of ship target

Rui Li, Jiacheng Xu, Jie Wei, Zitao Liu

Accurate parameter estimation of cubic phase signal is crucial for high-quality ISAR imaging of maneuvering targets, especially ship targets under high sea conditions. However, traditional estimation methods often suffer from low computational efficiency, cross-term interference, and limited resolution when dealing with multi-component …

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Space target imaging for spaceborne radar via joint parameter estimation based on image entropy and parrot optimizer algorithm

Y Jiang, Zheng TongJiao, Zitao Liu, Yue Wang

Space situational awareness (SSA), as a critical component of national security, has become an increasingly important research focus. Among various sensing technologies, spaceborne radar stands out due to its all-weather, all-day imaging capabilities, short observation distance and wide viewing angles. However, imaging …

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Vehicle-mounted SAR imaging system based on embedded GPU

Zitao Liu, Jiaqi Zhang, Jie Wei, Y Jiang et autres

Vehicle-mounted synthetic aperture radar (SAR) imaging systems demand high-resolution imaging algorithms with precise focusing capabilities and high-performance signal processing platforms to achieve real-time imaging of the surrounding environment. In this paper, a miniaturized vehicle-mounted SAR imaging system is built using an embedded …

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A Compress-Expand Framework for Automatic Lesson Plan Generation

Shuyan Huang, Ying Zheng, Xiaoli Zeng, Zitao Liu

Creating a well-structured lesson plan is essential for improving classroom efficiency, yet it is often a labor-intensive process. Recently, many studies have leveraged large language models (LLMs) to generate lesson plans automatically. However, existing methods heavily rely on LLMs that are pre-trained …

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Radargrammetric 3-D Reconstruction of Multiple Moving Ship Targets via Multiangle Spaceborne SAR Imagery

Bin Liu, Yicheng Jiang, Zitao Liu, Jin Wei et autres

The increasing complexity of the marine environments imposes higher demands on the surveillance of maritime ships. Radargrammetry can extract the height information of targets from the amplitude of multi-angle synthetic aperture radar (SAR) imagery, which provides a more specific and accurate description …

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3-D Squint InISAR Imaging Technique for Maneuvering Ship Targets Under Nonorthogonal Baseline Configuration via the Joint Distortion Correction

Jie Yang, Yong Wang, Zitao Liu, Jin Wei et autres

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Scatterer Trajectory Association Based on Motion Model for ISAR Image Sequence and Analysis of Influence Factors

Jin Wei, Yicheng Jiang, Zitao Liu

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Sparse inverse synthetic aperture radar fast imaging based on Hermitian-Toeplitz matrix completion

Yu Gong, Y Jiang, Zitao Liu, Zhang Yun

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ISAR Imaging of Maneuvering Targets via GRFT-MNPSO Algorithm

Jin Wei, Yicheng Jiang, Bin Liu, Zitao Liu et autres

In ISAR imaging of maneuvering targets, time-varying Doppler frequency and range cell migration pose challenges for obtaining focused ISAR images. To address these issues, an imaging algorithm called General Radon Fourier Transform-Modified Niching Particle Swarm Optimization (GRFT-MNPSO) with low computational complexity is …

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Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems

Kaiqi Yang, Hang Li, Yucheng Chu, Zitao Liu et autres

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