{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T18:56:15Z","timestamp":1776884175545,"version":"3.51.2"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tsp.2022.3229630","type":"journal-article","created":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:08:21Z","timestamp":1672081701000},"page":"5806-5821","source":"Crossref","is-referenced-by-count":52,"title":["A Radar Signal Deinterleaving Method Based on Semantic Segmentation with Neural Network"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2653-1355","authenticated-orcid":false,"given":"Wang","family":"Chao","sequence":"first","affiliation":[{"name":"College of Electronic Science and Technology and College of Electronic Engineering, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5853-1360","authenticated-orcid":false,"given":"Sun","family":"Liting","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9472-279X","authenticated-orcid":false,"given":"Liu","family":"Zhangmeng","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}]},{"given":"Huang","family":"Zhitao","sequence":"additional","affiliation":[{"name":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3044453"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/RadarConf2043947.2020.9266381"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref4","first-page":"149","article-title":"New techniques for the deinterleaving of repetitive sequences","volume-title":"IEEE Proceedings F: Radar and Signal Processing","volume":"136","author":"Mardia","year":"1989"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-2.1992.0012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/7.845217"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/78.765135"},{"issue":"8","key":"ref8","doi-asserted-by":"crossref","first-page":"2581","DOI":"10.1016\/j.sigpro.2010.03.004","article-title":"Deinterleaving pulse trains in unconventional circumstances using multiple hypothesis tracking algorithm","volume":"90","author":"Liu","year":"2010","journal-title":"Signal Process."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2005.1416374"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2018.2874139"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2967365"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2020.3004208"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2019.2925447"},{"key":"ref15","article-title":"ELINT: The interception and analysis of radar signals","author":"Wiley","year":"2006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2985768"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3087832"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2017.0516"},{"key":"ref19","first-page":"3431","article-title":"Fully convolutional networks for semantic segmentation","volume-title":"Proc. Conf. Comput. Vis. Pattern Recognit.","author":"Johnson","year":"2015"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref23","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFS","author":"Chen","year":"2015"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref27","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014"},{"key":"ref28","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume-title":"Adv. Neural Inf. Process. Syst.","volume":"4","author":"Sutskever","year":"2014"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.26.041002.131047"},{"key":"ref31","first-page":"577","article-title":"Attention-based models for speech recognition","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Bengio","year":"2015"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref33","article-title":"Recurrent neural network regularization","author":"Zaremba","year":"2014"},{"key":"ref34","first-page":"132","article-title":"Learning multiple timescales in recurrent neural networks","volume-title":"Proc. Artif. Neural Netw. Mach. Learn.-ICANN","author":"Tayfun","year":"2016"},{"key":"ref35","article-title":"Grid long short-term memory","author":"Kalchbrenner","year":"2016"},{"key":"ref36","first-page":"4189","article-title":"Recurrent highway networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zilly","year":"2017"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01174"},{"key":"ref38","first-page":"16","article-title":"Language modeling with gated convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dauphin","year":"2017"},{"key":"ref39","first-page":"123","article-title":"A convolutional encoder model for neural machine translation","volume-title":"Proc. Conf. ACL 201755th Ann. Meet. Assoc. Comput. Linguistics","author":"Jonas","year":"2017"},{"key":"ref40","first-page":"1243","article-title":"Convolutional sequence to sequence learning","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Gehring","year":"2017"},{"key":"ref41","article-title":"Neural machine translation in linear time","author":"Kalchbrenner","year":"2016"},{"key":"ref42","article-title":"WaveNet: A generative model for raw audio","volume-title":"Proc. Conf. 9th ISCA","author":"Oord","year":"2016"},{"key":"ref43","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2844175"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58523-5_38"},{"key":"ref47","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/9675017\/09999169.pdf?arnumber=9999169","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T13:08:28Z","timestamp":1709384908000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9999169\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/tsp.2022.3229630","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}