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Proceedings Paper

Designing interpolation kernels for SAR data resampling
Author(s): A. W. Doerry; E. Bishop; J. Miller; V. Horndt; D. Small
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Paper 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.

Paper Details

Date Published: 8 May 2012
PDF: 17 pages
Proc. SPIE 8361, Radar Sensor Technology XVI, 83611D (8 May 2012); doi: 10.1117/12.918106
Show Author Affiliations
A. W. Doerry, Sandia National Labs. (United States)
E. Bishop, General Atomics Aeronautical Systems, Inc. (United States)
J. Miller, General Atomics Aeronautical Systems, Inc. (United States)
V. Horndt, General Atomics Aeronautical Systems, Inc. (United States)
D. Small, Sandia National Labs. (United States)

Published in SPIE Proceedings Vol. 8361:
Radar Sensor Technology XVI
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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