DocumentCode :
39561
Title :
Late-Time Estimation for Resonance-Based Radar Target Identification
Author :
Hargrave, Chad O. ; Clarkson, I. Vaughan L. ; Hoi-Shun Lui
Author_Institution :
Energy Flagship, Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Brisbane, QLD, Australia
Volume :
62
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
5865
Lastpage :
5871
Abstract :
This communication presents a novel method for determining the commencement of the late-time resonant response of a radar target, without a priori knowledge of the target geometry or orientation. Insights from Kronecker´s theorem for Hankel matrices are used to determine the offset for the processing window for extraction of the true complex natural resonances by exploiting characteristic changes in the Hankel matrix, including the matrix rank and the distribution of eigenvalues. Results are presented for both simulated and measured targets.
Keywords :
eigenvalues and eigenfunctions; matrix algebra; radar target recognition; Hankel matrices; Kronecker theorem; late-time estimation; late-time resonant response; matrix rank; radar target identification; target geometry; target orientation; Antenna measurements; Eigenvalues and eigenfunctions; Estimation; Floors; Geometry; Noise; Scattering; Hankel matrices; natural resonances; radar signature; radar target recognition;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2014.2350507
Filename :
6881689
Link To Document :
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