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Proceedings Paper

Target identification in the time-frequency domain
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Paper 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.

Paper Details

Date Published: 24 May 1996
PDF: 12 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241152
Show Author Affiliations
Ismail I. Jouny, Lafayette College (United States)
Passant V. Karunaratne, Lafayette College (United States)
Moeness G. Amin, Villanova Univ. (United States)


Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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