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Proceedings Paper

Multifrequency space time orthogonal projection (MF-STOP): a radar signal processing algorithm for detecting and discriminating targets in heavy clutter
Author(s): Yalew Tamrat; Clancy Hatleberg
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Paper Abstract

In this paper, we present a Multi-Frequency Space-Time Orthogonal (MF-STOP) adaptive filtering approach for detection and discrimination of targets based on a two stage orthogonal projection whereby target parameters can be extracted in the presence of heavy clutter and noise. The proposed technique detects targets within heavy clutter tracked by a radar system. After targets are detected, motion information is extracted that can be used to discriminate threats such as reentry vehicles from other targets. Target detection is generated in stage one by a combination of Windowed Short Time Fast Fourier Transform (WSTFFT) processing and Principal Component Analysis (PCA). Target discrimination is done in a second stage via Partial Least Squares (PLS) using a training filter constructed from the stage one detection. The target is discriminated explicitly by metric criteria such as size or precession. These discriminate features do not have to be known a priori.

Paper Details

Date Published: 7 May 2007
PDF: 8 pages
Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680O (7 May 2007); doi: 10.1117/12.717179
Show Author Affiliations
Yalew Tamrat, Apogen Technologies (United States)
Clancy Hatleberg, Apogen Technologies (United States)

Published in SPIE Proceedings Vol. 6568:
Algorithms for Synthetic Aperture Radar Imagery XIV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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