研究目的
To address the high-frequency vibration errors in terahertz synthetic aperture radar (THz-SAR) imaging that cause paired echoes and blur images, by developing a compensation method using Doppler keystone transform and wavelet multi-resolution analysis for precise vibration parameter estimation.
研究成果
The proposed method effectively estimates and compensates for high-frequency vibration errors in THz-SAR, suppressing paired echoes and improving image quality, as validated by simulations. Future work should address more complex vibration conditions with multiple frequencies.
研究不足
The study assumes a single vibration frequency and may not account for multiple frequencies in real-world scenarios; it is based on simulation and not real experimental data, limiting practical applicability.
1:Experimental Design and Method Selection:
The study uses Doppler keystone transform (DKT) for initial SAR imaging to obtain focused paired echoes, followed by wavelet multi-resolution analysis for frequency estimation and parametric space projection for amplitude and phase estimation.
2:Sample Selection and Data Sources:
A still point target is simulated at the scene center using specified system parameters.
3:List of Experimental Equipment and Materials:
Simulation is performed with parameters including carrier frequency, plane velocity, pulse repetition frequency, pulse width, pulse bandwidth, range sampling frequency, and scene center range.
4:Experimental Procedures and Operational Workflow:
The process involves transforming the signal to range-Doppler domain, selecting a range line, applying FFT, extracting phase, unwrapping phase, performing wavelet multi-resolution analysis, reconstructing high-frequency signals, and using parametric space projection to estimate vibration parameters.
5:Data Analysis Methods:
Frequency estimation is done via FFT on reconstructed signals, and amplitude/phase estimation via peak search in parameter space; results are validated through numerical simulations.
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