An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis
Abstract The expansion of air traffic has led to an increase in mixed secondary surveillance radar (SSR) signal replies, which occur when multiple replies arrive at the receiver antenna simultaneously. These overlapping signals render the messages unrecoverable, leading to a loss of information. Add...
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| Format: | Article |
| Language: | English |
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Wiley
2024-10-01
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| Series: | IET Radar, Sonar & Navigation |
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| Online Access: | https://doi.org/10.1049/rsn2.12626 |
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| _version_ | 1850151473108746240 |
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| author | Sara Zaghloul Nicolas Petrochilos Mamadou Mboup |
| author_facet | Sara Zaghloul Nicolas Petrochilos Mamadou Mboup |
| author_sort | Sara Zaghloul |
| collection | DOAJ |
| description | Abstract The expansion of air traffic has led to an increase in mixed secondary surveillance radar (SSR) signal replies, which occur when multiple replies arrive at the receiver antenna simultaneously. These overlapping signals render the messages unrecoverable, leading to a loss of information. Additionally, the existing methods do not effectively address the issue of handling different types of signals with varying structures and characteristics. The authors validate the effectiveness of the disjoint component analysis (DCA) criterion for SSR signals and introduce a new DCA‐based algorithm designed to optimise the separation process. Through several simulations, the proposed algorithm demonstrates robust performance across various reception parameters. Additionally, it achieves good results when applied to real‐world data, showing its practical applicability and efficiency. |
| format | Article |
| id | doaj-art-1ccf0aa90cc94457afa498ff78c2caf5 |
| institution | OA Journals |
| issn | 1751-8784 1751-8792 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj-art-1ccf0aa90cc94457afa498ff78c2caf52025-08-20T02:26:14ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922024-10-0118101908191810.1049/rsn2.12626An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysisSara Zaghloul0Nicolas Petrochilos1Mamadou Mboup2Universite de Reims Champagne‐Ardenne CRESTIC Reims FranceUniversite de Reims Champagne‐Ardenne CRESTIC Reims FranceUniversite de Reims Champagne‐Ardenne CRESTIC Reims FranceAbstract The expansion of air traffic has led to an increase in mixed secondary surveillance radar (SSR) signal replies, which occur when multiple replies arrive at the receiver antenna simultaneously. These overlapping signals render the messages unrecoverable, leading to a loss of information. Additionally, the existing methods do not effectively address the issue of handling different types of signals with varying structures and characteristics. The authors validate the effectiveness of the disjoint component analysis (DCA) criterion for SSR signals and introduce a new DCA‐based algorithm designed to optimise the separation process. Through several simulations, the proposed algorithm demonstrates robust performance across various reception parameters. Additionally, it achieves good results when applied to real‐world data, showing its practical applicability and efficiency.https://doi.org/10.1049/rsn2.12626blind source separationpassive radarphased array radarradar signal processing |
| spellingShingle | Sara Zaghloul Nicolas Petrochilos Mamadou Mboup An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis IET Radar, Sonar & Navigation blind source separation passive radar phased array radar radar signal processing |
| title | An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis |
| title_full | An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis |
| title_fullStr | An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis |
| title_full_unstemmed | An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis |
| title_short | An efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis |
| title_sort | efficient gradient descent approach to separate a mixture of secondary surveillance radar replies based on disjoint component analysis |
| topic | blind source separation passive radar phased array radar radar signal processing |
| url | https://doi.org/10.1049/rsn2.12626 |
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