Designing interpolation kernels for SAR data resampling
Armin Doerry, Edward Bishop, John Arthur Miller, Volker Horndt, Daniel E. Small · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
It is fairly common in radar signal processing that sampled data is not sampled precisely at the desired positions within a function. Resampling the data to more advantageous sample locations entails interpolation of the data. The radar engineer often picks a resampling or an interpolation technique that "is handy", or "seems to work", without any analytical justification for his choice. However, understanding the science and mathematics that underpin interpolation can avoid unexpected and undesirable side effects from a suboptimal choice. This paper details interpolation kernel characteristics, allowing intelligent choices for algorithm design, tailored for radar signal processing applications.