Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최지웅 | - |
dc.date.accessioned | 2021-07-22T05:51:46Z | - |
dc.date.available | 2021-07-22T05:51:46Z | - |
dc.date.issued | 2020-02 | - |
dc.identifier.citation | SENSORS, v. 20, no. 4, Article no. 1234, 14pp | en_US |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://eds.b.ebscohost.com/eds/detail/detail?vid=0&sid=4d05f2bf-4997-481f-aade-01ed3dff1836%40sessionmgr103&bdata=Jmxhbmc9a28mc2l0ZT1lZHMtbGl2ZQ%3d%3d#AN=edselc.2-52.0-85079840296&db=edselc | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/163152 | - |
dc.description.abstract | A target angular information in 3-dimensional space consists of an elevation angle and azimuth angle. Acoustic signals propagating along multiple paths in underwater environments usually have different elevation angles. Target motion analysis (TMA) uses the underwater acoustic signals received by a passive horizontal line array to track an underwater target. The target angle measured by the horizontal line array is, in fact, a conical angle that indicates the direction of the signal arriving at the line array sonar system. Accordingly, bottom bounce paths produce inaccurate target locations if they are interpreted as azimuth angles in the horizontal plane, as is commonly assumed in existing TMA technologies. Therefore, it is necessary to consider the effect of the conical angle on bearings-only TMA (BO-TMA). In this paper, a target conical angle causing angular ambiguity will be simulated using a ray tracing method in an underwater environment. A BO-TMA method using particle swarm optimization (PSO) is proposed for batch processing to solve the angular ambiguity problem. | en_US |
dc.description.sponsorship | This research was a part of the project titled “Development of Distributed Underwater Monitoring and Control Networks”, funded by the Ministry of Oceans and Fisheries, Korea. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI AG | en_US |
dc.subject | target motion analysis | en_US |
dc.subject | bottom bounce path | en_US |
dc.subject | ray tracing | en_US |
dc.subject | particle swarm optimization | en_US |
dc.title | Batch Processing through Particle Swarm Optimization for Target Motion Analysis with Bottom Bounce Underwater Acoustic Signals | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 20 | - |
dc.identifier.doi | 10.3390/s20041234 | - |
dc.relation.page | 1234-1247 | - |
dc.relation.journal | SENSORS | - |
dc.contributor.googleauthor | Oh, R. | - |
dc.contributor.googleauthor | Choi, J.W. | - |
dc.contributor.googleauthor | Song, T.L. | - |
dc.relation.code | 2020053568 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E] | - |
dc.sector.department | DEPARTMENT OF MARINE SCIENCE AND CONVERGENCE ENGINEERING | - |
dc.identifier.pid | choijw | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.