Bistatic Echo Simulation Method of Micro-Motion Target with Specular Scattering Conditions

The lack of data is constraining research on the bistatic ballistic target (BT). In the bistatic radar system, the angle between the target axis and the radar line of sight (RLOS) is generally large, which means that the specular scattering center (SSC) is likely to be present with the target's micro-motion. This results in a brief flash in the time-frequency representation (TFR) but has been less frequently reported. We propose a micro-motion echo simulation method with SSC by calculating its position vector and modeling its visible coefficient. Furthermore, the model with four estimated parameters is utilized to optimize the simulated TFR. The simulation results intuitively and numerically agree well with the TFR obtained by electromagnetic calculation.

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Publication Details

Journal
Complex System Modeling and Simulation
Published
2025-04-17
DOI
https://doi.org/10.23919/csms.2024.0038
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
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article

Bistatic Echo Simulation Method of Micro-Motion Target with Specular Scattering Conditions

Jinhui Zhao, Feng Zhao, Yiqi Zhu, Xiaofeng Ai et al.
Complex System Modeling and Simulation
Advanced Optical Sensing Technologies
article

Bistatic Echo Simulation Method of Micro-Motion Target with Specular Scattering Conditions

Jinhui Zhao, Feng Zhao, Yiqi Zhu, Xiaofeng Ai, Zhiming Xu, Xiaoxia Xie
article en

Abstract

The lack of data is constraining research on the bistatic ballistic target (BT). In the bistatic radar system, the angle between the target axis and the radar line of sight (RLOS) is generally large, which means that the specular scattering center (SSC) is likely to be present with the target's micro-motion. This results in a brief flash in the time-frequency representation (TFR) but has been less frequently reported. We propose a micro-motion echo simulation method with SSC by calculating its position vector and modeling its visible coefficient. Furthermore, the model with four estimated parameters is utilized to optimize the simulated TFR. The simulation results intuitively and numerically agree well with the TFR obtained by electromagnetic calculation.

Complex System Modeling and SimulationVol. 5(3)
National University of Defense Technology (CN)
Openalex Percentile: Top 91%
Advanced Optical Sensing Technologies
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