Full metadata record
DC Field | Value | Language |
dc.contributor.author | 이인혁 | - |
dc.date.accessioned | 2022-03-29T03:26:30Z | - |
dc.date.available | 2022-03-29T03:26:30Z | - |
dc.date.issued | 2021 | - |
dc.identifier.other | OAK-2015-08907 | - |
dc.identifier.uri | http://postech.dcollection.net/common/orgView/200000367801 | ko_KR |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/111712 | - |
dc.description | Master | - |
dc.description.abstract | This paper proposes a new image formulation algorithm using the method of
compressive sensing in an FMCW radar system. This algorithm contains of two
important points. First, we reduced dimension of a sensing matrix using properties of Kronecker product. Second, we adopted a sparse recovery problem on total
variation domain and solved our problem using the Split Bregman method, which
is applicable to 2-D optimization. Thanks to proposed algorithm, we shortened
the time of image formulation and reduced a computational complexity in the
FMCW radar system. As a result, it is expected that a real time SAR imaging
system can be realized. | - |
dc.language | eng | - |
dc.publisher | 포항공과대학교 | - |
dc.title | A Study on the FMCW SAR Imaging Based on Compressive Sensing Using Split Bregman Method | - |
dc.type | Thesis | - |
dc.contributor.college | 일반대학원 전자전기공학과 | - |
dc.date.degree | 2021- 2 | - |
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