dc.contributor.author | Sevimli, Rasim A. | |
dc.date.accessioned | 2024-09-19T11:31:31Z | |
dc.date.available | 2024-09-19T11:31:31Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 0277-786X | en_US |
dc.identifier.uri | http://hdl.handle.net/11727/12209 | |
dc.description.abstract | Diver Detection Sonars (DDS) aim to detect the diver and tracking at the specific distance. At the side of signal processing case, there are bunch of beamforming algorithms to localize the target or diver in our case in the literature. In this paper, some beamforming algorithms are combined and compared via PSNR, time each other. Some algorithms show that the effect of sidelobes and reverberation are clearly decreased. Moreover, detection and tracking algorithms are applied to artificial sonar data created with a specific scenario for this purpose. | en_US |
dc.language.iso | eng | en_US |
dc.relation.isversionof | 10.1117/12.2664636 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Diver Detection Sonars | en_US |
dc.subject | beamforming algorithms | en_US |
dc.subject | Sonar Signal Processing | en_US |
dc.title | Diver Detection and Tracking with Different Beamforming Algorithms | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXXII | en_US |
dc.identifier.volume | 12547 | en_US |
dc.identifier.wos | 001033524700009 | en_US |
dc.identifier.scopus | 2-s2.0-85171159182 | en_US |
dc.identifier.eissn | 1996-756X | en_US |