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dc.contributor.author이찬길-
dc.date.accessioned2023-07-10T01:16:25Z-
dc.date.available2023-07-10T01:16:25Z-
dc.date.issued2017-06-
dc.identifier.citationIEICE COMMUNICATIONS EXPRESS, v. 6, NO. 8, Page. 501-506-
dc.identifier.issn2187-0136;2187-0136-
dc.identifier.urihttps://www.jstage.jst.go.jp/article/comex/6/8/6_2017XBL0080/_articleen_US
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/182733-
dc.description.abstractThe waveform algorithm for active target classification or identification based on spectral variance has been studied in various pieces of literature. The algorithm was extended for widely-separated MIMO Radar system to take advantage of spatial diversity gain by Bae et al. However, the MIMO waveform can be improved further by considering multiple objective functions from the multiple target paths. In this letter, we optimize the MIMO waveform for target identification system by maximizing the multiple objective functions. We show simulation results to compare the proposed algorithm to other MIMO waveform design methods.-
dc.languageen-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.subjectradar waveform-
dc.subjectMIMO-
dc.subjecttarget classification-
dc.subjectmutual information-
dc.subjectextended target-
dc.titleClassification waveform optimization for MIMO radar-
dc.typeArticle-
dc.relation.no8-
dc.relation.volume6-
dc.identifier.doi10.1587/comex.2017XBL0080-
dc.relation.page501-506-
dc.relation.journalIEICE COMMUNICATIONS EXPRESS-
dc.contributor.googleauthorKim, Hyoung-soo-
dc.contributor.googleauthorGoodman, Nathan A.-
dc.contributor.googleauthorBae, Junhyeong-
dc.contributor.googleauthorLee, Chankil-
dc.sector.campusE-
dc.sector.daehak공학대학-
dc.sector.department전자공학부-
dc.identifier.pidcklee-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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