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Advanced radar detection schemes under mismatched signal models
Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing...
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Lenguaje: | eng |
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Morgan & Claypool Publishers
2009
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Acceso en línea: | http://cds.cern.ch/record/1614193 |
_version_ | 1780932339646332928 |
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author | Bandiera, Francesco Orlando, Danilo |
author_facet | Bandiera, Francesco Orlando, Danilo |
author_sort | Bandiera, Francesco |
collection | CERN |
description | Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing adaptive algorithms have been designed following the lead of the derivation of Kelly's detector which assumes perfect knowledge of the target steering vector. However, in realistic scenarios, mismatches are likely to occur due to both environmental and instrumental factors. When a mismatched signal |
id | cern-1614193 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2009 |
publisher | Morgan & Claypool Publishers |
record_format | invenio |
spelling | cern-16141932021-04-21T22:10:22Zhttp://cds.cern.ch/record/1614193engBandiera, FrancescoOrlando, DaniloAdvanced radar detection schemes under mismatched signal modelsEngineeringAdaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing adaptive algorithms have been designed following the lead of the derivation of Kelly's detector which assumes perfect knowledge of the target steering vector. However, in realistic scenarios, mismatches are likely to occur due to both environmental and instrumental factors. When a mismatched signal Morgan & Claypool Publishersoai:cds.cern.ch:16141932009 |
spellingShingle | Engineering Bandiera, Francesco Orlando, Danilo Advanced radar detection schemes under mismatched signal models |
title | Advanced radar detection schemes under mismatched signal models |
title_full | Advanced radar detection schemes under mismatched signal models |
title_fullStr | Advanced radar detection schemes under mismatched signal models |
title_full_unstemmed | Advanced radar detection schemes under mismatched signal models |
title_short | Advanced radar detection schemes under mismatched signal models |
title_sort | advanced radar detection schemes under mismatched signal models |
topic | Engineering |
url | http://cds.cern.ch/record/1614193 |
work_keys_str_mv | AT bandierafrancesco advancedradardetectionschemesundermismatchedsignalmodels AT orlandodanilo advancedradardetectionschemesundermismatchedsignalmodels |