LASAR Imaging Algorithm Based on Keystone Transform and Beamforming Principle

Sampling rate and aperture array as key to imaging quality will be affected by the antenna size and the arrangement spacing in linear array synthetic aperture radar (LASAR). Under the condition of the relatively fixed array arrangement, the algorithm based on keystone transform and beamforming principle is proposed in this paper to improve the sampling rate and aperture array. Firstly, the keystone transform is used to correct the range cell migration (RCM), and the limitation of the Nyquist sampling rate is solved by beamforming principle. Then insufficient sampling rates is improved by spectrum estimation in the along-track direction. Finally, the simulation results demonstrate that the effectiveness of the proposed algorithm.