Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (2): 451-462.doi: 10.12305/j.issn.1001-506X.2025.02.12

• Sensors and Signal Processing • Previous Articles    

Translational compensation and micro-motion feature extraction method of ballistic targets based on dynamic mode decomposition

Kaiming LI1,2,*, Xiaonan DAI1,3, Yuanpeng ZHANG4, Jiawen YAO5, Ying LUO1,2   

  1. 1. College of Information and Navigation, Air Force Engineering University, Xi'an 710077, China
    2. Collaborative Innovation Center of Information Sensing and Understanding, Air Force Engineering University, Xi'an 710077, China
    3. Unit 95806 of the PLA, Beijing 100076, China
    4. The First Department, Air Force Early Warning Academy, Wuhan 430019, China
    5. Beijing Research Institute of Telemetry, Beijing 100094, China
  • Received:2023-12-06 Online:2025-02-25 Published:2025-03-18
  • Contact: Kaiming LI

Abstract:

To address the problem of difficulty in accurately extracting micro-motion features caused by ballistic target translational motion, a ballistic target translational motion compensation and micro-motion feature extraction method based on dynamic mode decomposition (DMD) is proposed. Firstly, based on the modeling of micro-motion echoes of ballistic targets, the slow-time range profile sequence of the target is subjected to micro Doppler (m-D) feature curve separation. Secondly, the separated data vectors are shifted and stacked to construct an augmented data matrix, and DMD is performed. Then, the decomposed mode amplitudes are used to rank each mode, and the main mode is selected combined with information such as the loss function. The zero frequency mode in the main modes is utilized to achieve translational compensation of ballistic targets, and micro-motion feature information such as spin frequency and cone rotation frequency from other main modes are extracted. Finally, performance analysis and comparative experiments are conducted on the DMD-based ballistic target translational compensation and micro-motion feature extraction methods, verifying the feasibility and robustness of the proposed methods.

Key words: dynamic mode decomposition (DMD), ballistic target, micro-Doppler (m-D), translational compensation, feature extraction

CLC Number: 

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