Tow ship interference mitigation in shallow ocean using correlated mode decomposition technique
Abstract Passive towed arrays assume great importance in shallow ocean surveillance, owing to their capability to detect long range underwater acoustic targets. The detection and classification performance is severely impacted by the tow ship interference manifestation in the pressure sensor array t...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-08-01
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Series: | IET Radar, Sonar & Navigation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rsn2.12268 |
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author | Remadevi M Suneera S Sureshkumar N Rajesh R |
author_facet | Remadevi M Suneera S Sureshkumar N Rajesh R |
author_sort | Remadevi M |
collection | DOAJ |
description | Abstract Passive towed arrays assume great importance in shallow ocean surveillance, owing to their capability to detect long range underwater acoustic targets. The detection and classification performance is severely impacted by the tow ship interference manifestation in the pressure sensor array towed behind the ship. In this work, a robust tow ship multipath interference mitigation algorithm intended for shallow ocean operation is developed, based on the dynamic mode decomposition (DMD) technique, which in turn exploits the coherent structure of the multimode acoustic wave propagation inherent in the shallow ocean scenario. The proposed algorithm effectively identifies the coherent normal mode interference subspace and eliminates its components from the received array data vector. Further, this approach compliments the shallow ocean normal mode acoustic field propagation and ensures simultaneous mitigation of all the multipath generated interferences, making it a superior method to reduce the azimuth spread of the interference and tow ship spectral leakage into the panoramic detection beams. This greatly enhances the detection and classification capability of sonar, especially for distant stealthy targets. The efficacy of the algorithm is validated using Monte Carlo simulations and further ratified by experimental data captured during the field trials in the Arabian Sea. |
first_indexed | 2024-04-12T08:49:05Z |
format | Article |
id | doaj.art-140acd6397ae4628a7e4de2946dc5e72 |
institution | Directory Open Access Journal |
issn | 1751-8784 1751-8792 |
language | English |
last_indexed | 2024-04-12T08:49:05Z |
publishDate | 2022-08-01 |
publisher | Wiley |
record_format | Article |
series | IET Radar, Sonar & Navigation |
spelling | doaj.art-140acd6397ae4628a7e4de2946dc5e722022-12-22T03:39:37ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922022-08-011681388140210.1049/rsn2.12268Tow ship interference mitigation in shallow ocean using correlated mode decomposition techniqueRemadevi M0Suneera S1Sureshkumar N2Rajesh R3Naval Physical and Oceanographic Laboratory (NPOL) DRDO & Research Scholar Affiliated to CUSAT Kochi Kerala IndiaNaval Physical and Oceanographic Laboratory (NPOL) DRDO Kochi Kerala IndiaNaval Physical and Oceanographic Laboratory (NPOL) DRDO Kochi Kerala IndiaNaval Physical and Oceanographic Laboratory (NPOL) DRDO Kochi Kerala IndiaAbstract Passive towed arrays assume great importance in shallow ocean surveillance, owing to their capability to detect long range underwater acoustic targets. The detection and classification performance is severely impacted by the tow ship interference manifestation in the pressure sensor array towed behind the ship. In this work, a robust tow ship multipath interference mitigation algorithm intended for shallow ocean operation is developed, based on the dynamic mode decomposition (DMD) technique, which in turn exploits the coherent structure of the multimode acoustic wave propagation inherent in the shallow ocean scenario. The proposed algorithm effectively identifies the coherent normal mode interference subspace and eliminates its components from the received array data vector. Further, this approach compliments the shallow ocean normal mode acoustic field propagation and ensures simultaneous mitigation of all the multipath generated interferences, making it a superior method to reduce the azimuth spread of the interference and tow ship spectral leakage into the panoramic detection beams. This greatly enhances the detection and classification capability of sonar, especially for distant stealthy targets. The efficacy of the algorithm is validated using Monte Carlo simulations and further ratified by experimental data captured during the field trials in the Arabian Sea.https://doi.org/10.1049/rsn2.12268acoustic fieldacoustic signal processingacoustic wave propagationarray signal processingdirection‐of‐arrival estimationinterference suppression |
spellingShingle | Remadevi M Suneera S Sureshkumar N Rajesh R Tow ship interference mitigation in shallow ocean using correlated mode decomposition technique IET Radar, Sonar & Navigation acoustic field acoustic signal processing acoustic wave propagation array signal processing direction‐of‐arrival estimation interference suppression |
title | Tow ship interference mitigation in shallow ocean using correlated mode decomposition technique |
title_full | Tow ship interference mitigation in shallow ocean using correlated mode decomposition technique |
title_fullStr | Tow ship interference mitigation in shallow ocean using correlated mode decomposition technique |
title_full_unstemmed | Tow ship interference mitigation in shallow ocean using correlated mode decomposition technique |
title_short | Tow ship interference mitigation in shallow ocean using correlated mode decomposition technique |
title_sort | tow ship interference mitigation in shallow ocean using correlated mode decomposition technique |
topic | acoustic field acoustic signal processing acoustic wave propagation array signal processing direction‐of‐arrival estimation interference suppression |
url | https://doi.org/10.1049/rsn2.12268 |
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