Keystone transform using Knab interpolation kernel

The Keystone transform using the Knab interpolation kernel is studied to remove the range migration among high resolution range bins. They can cause image aliasing during the long-term integration of moving targets. Firstly, the principles and the realization of the Keystone transform are analyzed. Then, the Keystone transform using the Knab interpolation kernel is proposed to reduce the computational costs caused by the one-dimensional interpolation using the sinc kernel. If the oversampling ratio is kept in a certain amount, the algorithm can realize the velocity compensation with less interpolation points. Theoretical analysis and simulation results show that the Keystone transform using the Knab interpolation kernel can be easily applied and can improve the computational efficiency while the performance of the Keystone transform is kept well.