研究目的
To propose a fast algorithm for simulating the raw echo signal of general bistatic synthetic aperture radar (SAR) in the two-dimensional frequency domain, aiming to improve simulation speed while maintaining high phase accuracy.
研究成果
The proposed fast algorithm for general bistatic SAR echo simulation in the two-dimensional frequency domain significantly improves computational efficiency while maintaining high phase accuracy. Simulation results confirm its validity, with phase errors within acceptable limits, making it suitable for large-scene applications. Future work could focus on reducing approximation errors and extending to more complex scenarios.
研究不足
The algorithm relies on series inversion approximations, which may introduce errors in amplitude oscillations and phase accuracy, especially for targets away from the scene center. It is specific to general bistatic SAR configurations and may not fully capture all coupling effects without further optimization.
1：Experimental Design and Method Selection:
The algorithm is based on a two-dimensional frequency domain approach, utilizing series reversion to derive accurate expressions for the bistatic SAR echo signal. It involves modeling the SAR echo signal, deducing frequency domain representations, and simulating range and azimuth coupling.
2：Sample Selection and Data Sources:
Simulation is performed using point targets in a scene, with parameters such as carrier frequency, signal bandwidth, and platform speeds defined in a table. The scene includes targets at specific positions for comparison.
3：List of Experimental Equipment and Materials:
A desktop computer with dual-core 2GHz clock speed, 4GB memory, running Windows 7 and MATLAB 2010a software is used for simulation and analysis.
4：Experimental Procedures and Operational Workflow:
The workflow involves deriving the two-dimensional frequency spectrum using series inversion, compensating for range migration in the range frequency domain-azimuth time domain, and performing simulations to compare with time-domain methods. Steps include Fourier transforms, phase compensation, and error analysis.
5：Data Analysis Methods:
Phase errors are analyzed by comparing results from the proposed frequency domain algorithm with traditional time-domain simulations. Computational complexity is evaluated based on the number of sampling points and FFT operations.
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