{"created":"2023-05-15T08:43:48.649980+00:00","id":8899,"links":{},"metadata":{"_buckets":{"deposit":"251d492f-60b3-439f-9382-b671ffe272b8"},"_deposit":{"created_by":13,"id":"8899","owners":[13],"pid":{"revision_id":0,"type":"depid","value":"8899"},"status":"published"},"_oai":{"id":"oai:uec.repo.nii.ac.jp:00008899","sets":["6"]},"author_link":["24229","24230","24232","24231"],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-06-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicPageEnd":"1520","bibliographicPageStart":"1513","bibliographicVolumeNumber":"E101.B","bibliographic_titles":[{},{"bibliographic_title":"IEICE Transactions on Communications","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"There is a strong demand for super-resolution time of arrival (TOA) estimation techniques for radar applications that can that can exceed the theoretical limits on range resolution set by frequency bandwidth. One of the most promising solutions is the use of compressed sensing (CS) algorithms, which assume only the sparseness of the target distribution but can achieve super-resolution. To preserve the reconstruction accuracy of CS under highly correlated and noisy conditions, we introduce a random resampling approach to process the received signal and thus reduce the coherent index, where the frequency-domain-based CS algorithm is used as noise reduction preprocessing. Numerical simulations demonstrate that our proposed method can achieve super-resolution TOA estimation performance not possible with conventional CS methods.","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEICE"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1587/transcom.2017EBP3324","subitem_relation_type_select":"DOI"}}]},"item_10001_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://search.ieice.org/index.html","subitem_relation_type_select":"URI"}}]},"item_10001_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"copyright©2018 IEICE"}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0916-8516","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"NOTO, Masanari","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"SHANG, Fang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"KIDERA, Shouhei","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"KIRIMOTO, Tetsuo","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-01-18"}],"displaytype":"detail","filename":"e101-b_6_1513.pdf","filesize":[{"value":"2.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"e101-b_6_1513","url":"https://uec.repo.nii.ac.jp/record/8899/files/e101-b_6_1513.pdf"},"version_id":"64611028-0b3f-4785-964f-f8fa2ee8c8c2"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"super-resolution TOA estimation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"compressed sensing (CS)","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"radar signal processing","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"random re-sampling","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"13","path":["6"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-01-18"},"publish_date":"2019-01-18","publish_status":"0","recid":"8899","relation_version_is_last":true,"title":["Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing"],"weko_creator_id":"13","weko_shared_id":-1},"updated":"2023-05-15T10:07:18.853660+00:00"}