Sector SONAR resolution enhancement using beam overlapping based on Wiener modeling
DC Field | Value | Language |
---|---|---|
dc.contributor.author | On, B. | - |
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Im, S. | - |
dc.date.available | 2019-04-10T09:58:48Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2017 | - |
dc.identifier.isbn | 9781509052660 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32504 | - |
dc.description.abstract | Many studies about generating images of seabed using active sonar have been carried out but image resolution enhancement is still an important problem. The approaches using narrower beam width are commonly and widely proposed to enhance azimuth resolution. Unfortunately, they have technical limitations to reduce the beam width. Therefore, signal processing techniques are essential to achieving higher azimuth resolution when an array with conventional beam width is employed. This paper proposes a new approach that utilizes overlapped beams based on Wiener filtering to obtain higher resolution. © 2017 IEEE. | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | 2017 IEEE OES International Symposium on Underwater Technology, UT 2017 | - |
dc.title | Sector SONAR resolution enhancement using beam overlapping based on Wiener modeling | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1109/UT.2017.7890283 | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 2017 IEEE OES International Symposium on Underwater Technology, UT 2017 | - |
dc.description.journalClass | 2 | - |
dc.identifier.scopusid | 2-s2.0-85018160526 | - |
dc.citation.conferenceDate | 2017-02-21 | - |
dc.citation.title | 2017 IEEE OES International Symposium on Underwater Technology, UT 2017 | - |
dc.contributor.affiliatedAuthor | Im, S. | - |
dc.type.docType | Conference Paper | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.