Waveform Design for Improved Detection of Extended Targets in Sea Clutter
Adaptive waveform design for cognitive radar in the case of extended target detection under compound-Gaussian (CG) sea clutter is addressed. Based on the CG characteristics of sea clutter, the texture component is employed to characterize the clutter ensemble during each closed-loop feedback and its...
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MDPI AG
2019-09-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/19/18/3957 |
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author | Linke Zhang Na Wei Xuhao Du |
author_facet | Linke Zhang Na Wei Xuhao Du |
author_sort | Linke Zhang |
collection | DOAJ |
description | Adaptive waveform design for cognitive radar in the case of extended target detection under compound-Gaussian (CG) sea clutter is addressed. Based on the CG characteristics of sea clutter, the texture component is employed to characterize the clutter ensemble during each closed-loop feedback and its estimation can be used for the next transmitted waveform design. The resulting waveform design problem is formulated according to the following optimization criterion: maximization of the output signal-to-interference-plus-noise ratio (SINR) for sea clutter suppression, and imposing a further constraint on sidelobes level of the waveform autocorrelation outputs for decreasing the false alarm rate. Numerical results demonstrate the effectiveness of this approach. |
first_indexed | 2024-04-11T12:32:28Z |
format | Article |
id | doaj.art-a519da42735e48b0974e9eeb823b9945 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T12:32:28Z |
publishDate | 2019-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-a519da42735e48b0974e9eeb823b99452022-12-22T04:23:43ZengMDPI AGSensors1424-82202019-09-011918395710.3390/s19183957s19183957Waveform Design for Improved Detection of Extended Targets in Sea ClutterLinke Zhang0Na Wei1Xuhao Du2Key Laboratory of High Performance Ship Technology, Wuhan University of Technology, Ministry of Education, Wuhan 430063, ChinaKey Laboratory of Modern Acoustics and Institute of Acoustics, Nanjing University, Nanjing 210000, ChinaDepartment of Mechanical Engineering, The University of Western Australia, Crawley 6008, AustraliaAdaptive waveform design for cognitive radar in the case of extended target detection under compound-Gaussian (CG) sea clutter is addressed. Based on the CG characteristics of sea clutter, the texture component is employed to characterize the clutter ensemble during each closed-loop feedback and its estimation can be used for the next transmitted waveform design. The resulting waveform design problem is formulated according to the following optimization criterion: maximization of the output signal-to-interference-plus-noise ratio (SINR) for sea clutter suppression, and imposing a further constraint on sidelobes level of the waveform autocorrelation outputs for decreasing the false alarm rate. Numerical results demonstrate the effectiveness of this approach.https://www.mdpi.com/1424-8220/19/18/3957waveform designcognitive radarsea clutterextended targetlow range sidelobes |
spellingShingle | Linke Zhang Na Wei Xuhao Du Waveform Design for Improved Detection of Extended Targets in Sea Clutter Sensors waveform design cognitive radar sea clutter extended target low range sidelobes |
title | Waveform Design for Improved Detection of Extended Targets in Sea Clutter |
title_full | Waveform Design for Improved Detection of Extended Targets in Sea Clutter |
title_fullStr | Waveform Design for Improved Detection of Extended Targets in Sea Clutter |
title_full_unstemmed | Waveform Design for Improved Detection of Extended Targets in Sea Clutter |
title_short | Waveform Design for Improved Detection of Extended Targets in Sea Clutter |
title_sort | waveform design for improved detection of extended targets in sea clutter |
topic | waveform design cognitive radar sea clutter extended target low range sidelobes |
url | https://www.mdpi.com/1424-8220/19/18/3957 |
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