Multifrequency space time orthogonal projection (MF-STOP): a radar signal processing algorithm for detecting and discriminating targets in heavy clutter

Yalew Tamrat; Clancy Hatleberg

doi:10.1117/12.717179

7 May 2007 Multifrequency space time orthogonal projection (MF-STOP): a radar signal processing algorithm for detecting and discriminating targets in heavy clutter

Yalew Tamrat, Clancy Hatleberg

Author Affiliations +

Proceedings Volume 6568, Algorithms for Synthetic Aperture Radar Imagery XIV; 65680O (2007) https://doi.org/10.1117/12.717179
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Yalew Tamrat and Clancy Hatleberg "Multifrequency space time orthogonal projection (MF-STOP): a radar signal processing algorithm for detecting and discriminating targets in heavy clutter", Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680O (7 May 2007); https://doi.org/10.1117/12.717179

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KEYWORDS

Target detection

Radar

Detection and tracking algorithms

Principal component analysis

Clouds

Data modeling

Radar signal processing

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