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An Improved Space-Based ISAR Simulation Method Using Two-Line Element Data
Wenjie Zhu1, Hongxing Hao1, Ronghuan Yu1
1National Key Laboratory of Space Target Awareness, Space Engineering University, No.1 Bayi Road, Huairou, Beijing 101400, China.
Sensors (Basel, Switzerland)
|July 28, 2026
Summary
This study introduces a new sparse imaging simulation for space targets using satellite Two-Line Element (TLE) data. The method enhances Inverse Synthetic Aperture Radar (ISAR) simulation, improving target recognition in low signal conditions.
Area of Science:
- Radar Technology
- Astrodynamics
- Image Processing
Background:
- Inverse Synthetic Aperture Radar (ISAR) is crucial for target recognition.
- Radar simulation is an active area of research.
- Accurate simulation requires precise target motion data.
Purpose of the Study:
- To develop a digital simulation method for ISAR technology.
- To enable sparse imaging of spatial targets using satellite TLE data.
- To accurately resolve space target motion relative to radar.
Main Methods:
- Utilized Two-Line Element (TLE) data from satellites.
- Applied an improved Alternating Direction Method of Multipliers (ADMM) for echo data processing.
- Focused on high-resolution imaging in a simulation environment.
Main Results:
- Achieved high-resolution imaging in simulation.
- Accurately resolved the motion state of space targets.
- Demonstrated advantages in high-sparsity and low signal-to-noise ratio (SNR) imaging.
Conclusions:
- The proposed sparse imaging simulation method effectively utilizes TLE data.
- The method enhances ISAR simulation capabilities for space targets.
- Offers improved simulation and application for ISAR in challenging conditions.
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