Real-time 2D floating-point fast Fourier transforms for seeker simulation

Richard Chamberlain; Eric Lord; David J. Shand

doi:10.1117/12.474723

12 July 2002 Real-time 2D floating-point fast Fourier transforms for seeker simulation

Richard Chamberlain, Eric Lord, David J. Shand

Proceedings Volume 4717, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing VII; (2002) https://doi.org/10.1117/12.474723
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

The floating point Fast Fourier Transform (FFT) is one of the most useful basic functions available to the image and signal processing engineer allowing many complex and detailed special functions to be implemented more simply in the frequency domain. In the Hardware-in-the-Loop field an image transformed using FFT would allow the designer to think about accurate frequency based simulation of seeker lens effects, motion blur, detector transfer functions and much more. Unfortunately, the transform requires many hundreds of thousands or millions of floating point operations on a single modest sized image making it impractical for realtime Hardware-in-the-Loop systems. .until now. This paper outlines the development, by Nallatech, of an FPGA based IEEE floating point core. It traces the subsequent use of this core to develop a full 256 X 256 FFT and filter process implemented on COTS hardware at frame rates up to 150Hz. This transform can be demonstrated to model optical transfer functions at a far greater accuracy than the current spatial models. Other applications and extensions of this technique will be discussed such as filtering for image tracking algorithms and in the simulation of radar processing in the frequency domain.

Citation Download Citation

Richard Chamberlain, Eric Lord, and David J. Shand "Real-time 2D floating-point fast Fourier transforms for seeker simulation", Proc. SPIE 4717, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing VII, (12 July 2002); https://doi.org/10.1117/12.474723

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