An efficient ISAR imaging method based on sliding window STAP
编号:67 访问权限:仅限参会人 更新:2020-08-05 10:17:00 浏览:644次 口头报告

报告开始:2020年06月09日 14:00(Asia/Shanghai)

报告时间:15min

所在会场:[R] Regular Session [R06] Machine Learning-Based Multi-channel Processing

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摘要
ISAR imaging for a marine moving target faces a series of challenges in the airborne radar system, especially the strong clutter interference with Doppler frequency spreading. Space-time adaptive processing (STAP) has advantage of adaptive clutter suppression, however, the conventional STAP is not applicable for the ISAR system due to some significant differences, To tackle this problem, an efficient ISAR imaging method based on sliding window STAP is proposed for the airborne radar system in this paper. In the sliding window STAP, the whole CPI is divided into a series of coherent processing sub-intervals (CPSIs). Those CPSIs are generated with sliding window technique and they have identical length. In each CPSI, STAP algorithm is adopted to suppress the clutter. After that, the target signal is enhanced but the range migration still exists. Meanwhile, the Doppler frequency differences with respect to the azimuth dimension is still maintained, which guarantees the further ISAR imaging by Range-Doppler (RD) algorithm. The proposed method can improve the ISAR imaging performance with low signal-to-noise ratio (SNR). The simulation experiments are carried out to verify the effectiveness of the proposed method.
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报告人
Haodong Li
Xidian University, China

稿件作者
Haodong Li Xidian University, China
Guisheng Liao Xidian University, China
Jingwei Xu Xidian University, China
Jun Zhang Xi’an Institute of Electronic Engineering, China
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    06月08日

    2020

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    2020

  • 01月12日 2020

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  • 04月15日 2020

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主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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