Target identification in the time-frequency domain

Ismail I. Jouny; Passant V. Karunaratne; Moeness G. Amin

doi:10.1117/12.241152

24 May 1996 Target identification in the time-frequency domain

Ismail I. Jouny, Passant V. Karunaratne, Moeness G. Amin

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241152
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

This paper addresses the problem of target identification using features extracted from the time-frequency domain. This approach is an attractive alternative to other target recognition schemes because it makes us of the time-dependence of frequency domain signatures or the frequency dependence of time-domain scattering features. The disadvantage, however, is that time-frequency signatures are based on the magnitude squared of the received backscatter signal and are thus characterized by high noise variance. In this paper, we determine the feasibility of radar target identification in the time-frequency domain. The goal is to compare the performance of time-frequency domain target recognition with other schemes that rely on the raw backscatter data. To ensure fairness, we implement the same type of statistical pattern recognition in both domains. We also attempt three types of time-frequency backscatter representations: Wigner-Ville, Bjorn-Jordan, and spectrograms. We use the analytic form of real radar signatures recorded in a compact range environment for different target azimuth positions.

Citation Download Citation

Ismail I. Jouny, Passant V. Karunaratne, and Moeness G. Amin "Target identification in the time-frequency domain", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241152

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