A General Numerical Error Compensation Method for NLFM Signal in SAR System Based on Non-Start-Stop Model
Gui Wang1,2, Heng Zhang1,2, Bo Li1,2
1Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
This study introduces a numerical method to compensate for errors in synthetic aperture radar (SAR) systems using nonlinear frequency modulated (NLFM) signals. The technique addresses target defocusing caused by platform motion, enhancing SAR imaging quality.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Electromagnetics
Background:
- Nonlinear frequency modulated (NLFM) signals offer enhanced resolution, anti-jamming, and imaging quality in synthetic aperture radar (SAR) systems.
- The non-start-stop effect, due to continuous platform motion during pulse transmission/reception, causes significant errors and target defocusing in NLFM SAR systems.
Purpose of the Study:
- To propose a general numerical error compensation method specifically designed for NLFM signals in SAR systems.
- To address and mitigate the target defocusing problem caused by the non-start-stop effect in NLFM SAR.
Main Methods:
- Derivation of an error model based on the non-start-stop assumption for NLFM signals.
- Development of a phase compensation method utilizing numerical calculations.
- Validation of the proposed method through simulation experiments.
Main Results:
- The proposed numerical method effectively compensates for errors introduced by the non-start-stop effect in NLFM SAR systems.
- Simulation results demonstrate the successful mitigation of target defocusing, leading to improved imaging quality.
- The method provides a robust framework for error compensation in high-resolution SAR applications.
Conclusions:
- The developed numerical error compensation method is effective for NLFM SAR systems.
- This approach offers a viable solution for enhancing the performance of high-resolution SAR systems utilizing NLFM signals.
- The proposed framework supports robust error compensation, crucial for advanced SAR applications.
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