Method for inverse synthetic aperture radar imaging of space debris using improved genetic algorithm

作者：Ning, Yu; Bai, Xue-ru; Zhou, Feng^*; Liu, Lei

来源：IET Radar Sonar and Navigation, 2017, 11(5): 812-821.

DOI：10.1049/iet-rsn.2016.0048

• radar imaging
• synthetic aperture radar
• genetic algorithms
• radar cross-sections
• Fourier transforms
• image resolution
• inverse synthetic aperture radar imaging method
• space debris
• genetic algorithm
• radar echoes
• pulse repetition frequency
• PRF
• time-varying Doppler
• joint time-frequency imaging methods
• Fourier transform
• inverse synthetic aperture radar imaging
• parametric optimisation problem
• CLEAN technique
• cross-range history
• scattering centre

Due to the rapid spinning of space debris, its radar echoes have serious migration through range cells and highly non-stationary, time-varying Doppler. With low pulse repetition frequency (PRF) and data missing, 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 study proposes a novel method for inverse synthetic aperture radar imaging of rapidly spinning space debris using the improved genetic algorithm (GA). Firstly, the authors derive the analytic model of the scattering centres and convert the imaging problem to a parametric optimisation 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 centre. Finally, high-resolution images 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 and data missing.

• 出版日期2017-5
• 单位西安电子科技大学