| Type of Material: | Thesis |
| Title: | Investigation on Cancellation of Self noise induced Interference Effects in Passive Towed Array SONAR for Shallow Ocean Operations |
| Researcher: | Rema Devi, M |
| Guide: | Rajesh, R and Suresh Kumar, N |
| Department: | Naval Physical and Oceanographic Laboratory (NPOL) |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2023 |
| Language: | English |
| Subject: | Anti-Submarine Warfare Operations | Deep Regression Neural Network (DRNN) | Engineering and Technology | Engineering Ocean | National Security Sound Navigation and Ranging (SONAR) | Shallow Ocean Operations | Tow Ship Interference | Underwater Acoustics | Oceanography | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Naval Physical and Oceanographic Laboratory (NPOL), Cochin University of Science & Technology, Cochin, Cochin; 2023 |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 456313 | |
| 003 | IN-AhILN | |
| 005 | 2024-10-09 11:38:33 | |
| 008 | __ | 241009t2023||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456313 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aRema Devi, M|eResearcher |
| 110 | __ | |aNaval Physical and Oceanographic Laboratory (NPOL)|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aInvestigation on Cancellation of Self noise induced Interference Effects in Passive Towed Array SONAR for Shallow Ocean Operations |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2023 |
| 300 | __ | |axx,154|dDVD |
| 502 | __ | |cNaval Physical and Oceanographic Laboratory (NPOL), Cochin University of Science & Technology, Cochin, Cochin|d2023|bPhD |
| 518 | __ | |d2024|oDate of Award |
| 518 | __ | |oDate of Registration|d2018 |
| 520 | __ | |aSONARs employ acoustic waves to detect and localise underwater targets and aid the naval forces in protecting harbour assets while augmenting constant coastal surveillance. Towed array sonars are preferred for detecting stealthy underwater targets that emit faint acoustic signals in the ocean, especially in shallow waters. However, the towing ship, being near the array, behaves as a loud target, introducing additional interfering signals to the array and severely affecting the detection and classification of potential targets by the sonar. Cancelling this underlying interference signal is a challenging task and is investigated in this work for a shallow ocean operational scenario where the problem is more critical due to the multipath phenomenon. Four schemes were developed for tow ship noise cancellation in shallow ocean environments in the context of passive sonar, based on different approaches. The first scheme is a spatio-temporal processing technique combined with subspace analysis. Two of the mode dec |
| 650 | __ | |aOceanography|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aAnti-Submarine Warfare Operations |
| 653 | __ | |aDeep Regression Neural Network (DRNN) |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aEngineering Ocean |
| 653 | __ | |aNational Security Sound Navigation and Ranging (SONAR) |
| 653 | __ | |aShallow Ocean Operations |
| 653 | __ | |aTow Ship Interference |
| 653 | __ | |aUnderwater Acoustics |
| 700 | __ | |eGuide|aRajesh, R and Suresh Kumar, N |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/547648|yShodhganga |
| 905 | __ | |afromsg |
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