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Proceedings Paper

Image-based target detection with multispectral UWB OFDM radar
Author(s): Travis D. Bufler; Dmitriy S. Garmatyuk
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Paper Abstract

This paper proposes an image-based automatic target detection algorithm to be used in clutter and sparse target environments. We intend to apply the algorithm to an ultra-wideband multispectral radar concept by means of employing multi-carrier waveforms based upon Orthogonal Frequency Division Multiplexing (OFDM) modulation. Individual sub-bands of an OFDM waveform can be processed separately to yield range and cross-range reconstruction of a target scene containing both targets and clutter. Target detection in resulting images will be performed and contrasted with the detection performance of a traditional fixed-waveform Synthetic Aperture Radar system. The target detection algorithm is implemented through the use of scalar and vector field operations performed on the images from the reconstructed target scene. We hypothesize that the use of vector operations and field analysis will allow for an adaptive approach to the detection of targets within clutter.

Paper Details

Date Published: 3 May 2012
PDF: 10 pages
Proc. SPIE 8361, Radar Sensor Technology XVI, 83610T (3 May 2012); doi: 10.1117/12.918710
Show Author Affiliations
Travis D. Bufler, Miami Univ. (United States)
Dmitriy S. Garmatyuk, Miami Univ. (United States)

Published in SPIE Proceedings Vol. 8361:
Radar Sensor Technology XVI
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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