Publication:
Search radar track-before-detect using the Hough transform

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Authors
Elazar, Moshe.
Subjects
Advisors
Schleher, D. Curtis
Date of Issue
1995-03
Date
March 1995
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Detection of small targets in the presence of noise and sea clutter interference presents a formidable task in a radar system design. Conventional radar detection schemes, such as spectral discrimination and noncoherent integration have been employed with limited success. This thesis suggests an improved target detection scheme, applicable to search radars, using the Hough transform image processing technique. The system concept involves a track- before-detect processing method which allows previous data to help in target detection. The technique provides many advantages compared to traditional techniques. These include improved detection for moving targets, a solution to the range walk problem and automatic tracking without the need to revisit. The improved detectability results from better use of old energy and spatially separated energy which is equivalent to using a three-dimensional filter matched to the target trajectories in addition to the conventional target parameters. The questions answered by this thesis concern the effectiveness of the Hough transform in achieving improved radar target detection and system detection performance, (i.e., probability of detection and false alarm rate as a function of signal to noise ratio). System design concepts are considered and a full environment simulation including sea clutter and noise is implemented to determine the algorithm efficiency and performance in various scenarios.
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funder
NA
Format
122 p.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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