Automatic target detection in simulated ground clutter (Weibull distributed) by multilayer perceptrons in a low-resolution coherent radar
This study presents the problem of detecting known targets (Swerling 0 model) in simulated ground clutter (land cultivated). As a modelled low-resolution coherent radar system is used, the clutter is modelled by a complex-valued, time-correlated, Weibull distribution. The research exposed in this st...
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Published in | IET radar, sonar & navigation Vol. 4; no. 2; p. 315 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Stevenage
The Institution of Engineering & Technology
01.04.2010
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Subjects | |
Online Access | Get full text |
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Summary: | This study presents the problem of detecting known targets (Swerling 0 model) in simulated ground clutter (land cultivated). As a modelled low-resolution coherent radar system is used, the clutter is modelled by a complex-valued, time-correlated, Weibull distribution. The research exposed in this study looks for two objectives. First, finding a detection scheme that permits the final user (radar operator) determine, if a target is present or not, and its position, size and shape. And second, designing a detection scheme as robust as possible against clutter and target condition changes and approximating the specification and measurement of the radar performance by using clutter models. A detection scheme, based on neural networks is proposed, where feedforward multilayer perceptrons are used. Finally, this scheme is compared with a coherent detector commonly used, when Weibull-distributed clutter is present, the target sequence known a priori detector. This comparison empirically demonstrates the performance improvement achieved by the proposed detector comparing with the commonly used. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1751-8784 1751-8792 |
DOI: | 10.1049/iet-rsn.2009.0080 |