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Proceedings Paper

Radar target identification using various nearest neighbor techniques
Author(s): I. Jouny
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Paper Abstract

Radar target identification using decision-theoretic distance based methods have long been used for classifying unknown non-cooperative radar targets using their Radar Cross Section (RCS). This study revisits this subject using the recently developed Large Margin Nearest Neighbor (LMNN) technique in addition to other traditional nearest neighbor methods. Radar target recognition has been defined by two performance limiting issues namely 1) azimuth ambiguity (and/or erroneous estimation of target azimuth) and 2) presence of extraneous scatterers along the target. This study examines these different scenarios and highlights any of the benefits that LMNN may add to the radar target classification problem.

Paper Details

Date Published: 13 June 2014
PDF: 9 pages
Proc. SPIE 9090, Automatic Target Recognition XXIV, 90900B (13 June 2014); doi: 10.1117/12.2049839
Show Author Affiliations
I. Jouny, Lafayette College (United States)


Published in SPIE Proceedings Vol. 9090:
Automatic Target Recognition XXIV
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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