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8 May 2012 Designing interpolation kernels for SAR data resampling
A. W. Doerry; E. Bishop; J. Miller; V. Horndt; D. Small
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Proceedings Volume 8361, Radar Sensor Technology XVI; 83611D (2012) https://doi.org/10.1117/12.918106
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States
Abstract
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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A. W. Doerry, E. Bishop, J. Miller, V. Horndt, and D. Small "Designing interpolation kernels for SAR data resampling", Proc. SPIE 8361, Radar Sensor Technology XVI, 83611D (8 May 2012); https://doi.org/10.1117/12.918106
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