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TAN Zhengkuan, LIU Kang, YANG Yang, et al. Parameter estimation of a moving target with combined translational and rotational motion based on single mode vortex electromagnetic waves[J]. Journal of Radars, in press. doi: 10.12000/JR25266
Citation: TAN Zhengkuan, LIU Kang, YANG Yang, et al. Parameter estimation of a moving target with combined translational and rotational motion based on single mode vortex electromagnetic waves[J]. Journal of Radars, in press. doi: 10.12000/JR25266
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Parameter Estimation of a Moving Target with Combined Translational and Rotational Motion Based on Single Mode Vortex Electromagnetic Waves

DOI: 10.12000/JR25266 CSTR: 32380.14.JR25266

  • College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds:  The National Natural Science Foundation of China (62401583, 62322122)
More Information
  • Corresponding author: LIU Kang, liukang1117@126.com
  • Received Date: 2025-12-10
    Available Online: 2026-04-03
    Abstract
  • Vortex electromagnetic waves have proven highly effective for moving-target detection due to their distinctive wavefront phase distribution. Accurate estimation of translational and rotational Doppler shifts is essential for high-precision measurement of motion parameters. Existing methods typically rely on transmitting multiple modes of vortex electromagnetic waves, and they often require additional prior information to resolve Doppler ambiguities for high-speed targets, and the separation accuracy of translational and rotational Doppler components is limited. To address these challenges, this work proposes a single-mode vortex electromagnetic wave–based Doppler separation method combined with adaptive piece-wise sparse representation (APWSR) for high-precision instantaneous frequency estimation. Using the Doppler compression technique, translational and rotational Doppler components can be effectively separated using only a single mode, while APWSR enables high-precision instantaneous frequency estimation. From these results, the translational velocity, rotation radius, rotational frequency, and Euler angles of the target are extracted. Simulations validate the effectiveness and robustness of the proposed method, demonstrating that it outperforms existing dual-mode approaches in Doppler frequency and motion parameter estimation.

     

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