Designing interpolation kernels for SAR data resampling

A. W. Doerry; E. Bishop; J. Miller; V. Horndt; D. Small

doi:10.1117/12.918106

8 May 2012 Designing interpolation kernels for SAR data resampling

A. W. Doerry, E. Bishop, J. Miller, V. Horndt, D. Small

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available