Abstract
Due to the rapid spinning of space debris, its radar echoes have serious migration through range cell and highly nonstationary, time-varying Doppler. With low pulse repetition frequency (PRF), conventional joint time-frequency imaging methods such as the Wigner-Ville distribution and the short-time Fourier transform cannot obtain well-focused image. To tackle this problem, this paper proposes a novel method for inverse synthetic aperture radar (ISAR) imaging of rapidly spinning space debris using the improved genetic algorithm (GA). Firstly, we derive the analytic model of the scattering centers and convert the imaging problem to a parametric optimization problem. Then, an improved GA method combined with the CLEAN technique is introduced to estimate the model parameters and construct the range and cross-range history of each scattering center. Finally, high-resolution image at different time instants are obtained. Simulation results have shown that the proposed method achieves high resolution with low computational burden, and it is robust to low PRF.
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