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ID:37069990
大小:36.75 MB
页数:162页
时间:2019-05-16
《基于贝叶斯框架的稀疏孔径ISAR成像技术研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、分类号TN95学号14049050UDC密级公开工学博士学位论文基于贝叶斯框架的稀疏孔径ISAR成像技术研究博士生姓名张双辉学科专业信息与通信工程研究方向空间信息获取与处理技术指导教师黎湘教授国防科学技术大学研究生院二〇一六年十月ResearchonSparseApertureInverseSyntheticApertureRadarImagingwithingBayesianframeworkCandidate:ZhangShuanghuiSupervisor:Prof.LiXiangAdisserta
2、tionSubmittedinpartialfulfillmentoftherequirementsforthedegreeofDoctorofEngineeringinInformationandCommunicationEngineeringGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaOctober,2016国防科学技术大学研究生院博士学位论文目录摘要.....................
3、..............................................................................................iAbstract...............................................................................................................iii第一章绪论.................................
4、.....................................................................11.1研究背景及意义.............................................................................................11.2高分辨成像雷达系统发展概况.................................................................
5、....21.3ISAR成像技术研究现状...............................................................................71.3.1平动补偿..............................................................................................71.3.2横向定标..........................................
6、...................................................111.3.3稀疏孔径ISAR成像.........................................................................121.3.4Bi-ISAR成像.....................................................................................131.3.5InISAR
7、成像.......................................................................................141.4论文主要内容及结构安排...........................................................................15第二章稀疏贝叶斯重构理论研究...........................................................
8、.........182.1引言...............................................................................................................182.2基于对数拉普拉斯先验的稀疏贝叶斯重构...............................................192.2.1对数拉普拉斯先验...
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