Phase difference method for target motion compensation of stepped-frequency ISAR signatures

Jae Sok Son; Salim Tariq; Benjamin C. Flores

doi:10.1117/12.257220

5 November 1996 Phase difference method for target motion compensation of stepped-frequency ISAR signatures

Jae Sok Son, Salim Tariq, Benjamin C. Flores

Proceedings Volume 2845, Radar Processing, Technology, and Applications; (1996) https://doi.org/10.1117/12.257220
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

In this article, we present a method for estimating the translational motion parameters of a target from its ISAR signature. The method exploits the phase of the target's frequency response and does not require 2D Fourier processing. The basis for this method is a phase difference indicator which converges to an absolute minimum when the phase is compensated with the true values of the motion parameters. The analysis of the phase difference indicator leads to an algorithm for motion parameter optimization. Processing of simulated and experimental ISAR signatures demonstrates that the phase difference method is extremely computationally efficient and equally accurate when compared to robust techniques based on entropy or Fisher information indicators.

Citation Download Citation

Jae Sok Son, Salim Tariq, and Benjamin C. Flores "Phase difference method for target motion compensation of stepped-frequency ISAR signatures", Proc. SPIE 2845, Radar Processing, Technology, and Applications, (5 November 1996); https://doi.org/10.1117/12.257220

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