{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T04:01:54Z","timestamp":1746331314437,"version":"3.40.4"},"reference-count":11,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Fundamentals"],"published-print":{"date-parts":[[2025,5,1]]},"DOI":"10.1587\/transfun.2024eal2061","type":"journal-article","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T22:11:20Z","timestamp":1731449480000},"page":"755-759","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Ship Formation Recognition for HFSWR in a Long Coherent Integration Time"],"prefix":"10.1587","volume":"E108.A","author":[{"given":"Jiaqi","family":"WANG","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aijun","family":"LIU","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changjun","family":"YU","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] H. Leong and H. Wilson, \u201cAn estimation and verification of vessel radar cross sections for high-frequency surface-wave radar,\u201d IEEE Antennas Propag. Mag., vol.48, no.2, pp.11-16, 2006. 10.1109\/map.2006.1650812","DOI":"10.1109\/MAP.2006.1650812"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] D. Yao, X. Zhang, Q. Yang, and W. Deng, \u201cA novel nonhomogeneous detector based on over-determined linear equations with single snapshot,\u201d IEICE Trans. Fundamentals, vol.E102-A, no.9, pp.1312-1316, Sept. 2019. 10.1587\/transfun.e102.a.1312","DOI":"10.1587\/transfun.E102.A.1312"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] S. Grosdidier and A. Baussard, \u201cShip detection based on morphological component analysis of high-frequency surface wave radar images,\u201d IET Radar, Sonar &amp; Navigation, vol.6, no.9, pp.813-821, 2012. 10.1049\/iet-rsn.2012.0062","DOI":"10.1049\/iet-rsn.2012.0062"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] W. Sun, X. Li, Z. Pang, Y. Ji, Y. Dai, and W. Huang, \u201cTrack-to-track association based on maximum likelihood estimation for T\/R-R composite compact HFSWR,\u201d IEEE Trans. Geosci. Remote Sens., vol.61, p.5102012, 2023. 10.1109\/tgrs.2023.3253784","DOI":"10.1109\/TGRS.2023.3253784"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] Z. Yang, H. Zhou, Y. Tian, and J. Zhao, \u201cImproved CFAR detection and direction finding on time-frequency plane with high-frequency radar,\u201d IEEE Geosci. Remote Sens. Lett., vol.19, p.3505005, 2021. 10.1109\/lgrs.2021.3066522","DOI":"10.1109\/LGRS.2021.3066522"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] H. Rohling, \u201cRadar CFAR thresholding in clutter and multiple target situations,\u201d IEEE Trans. Aerosp. Electron. Syst., vol.19, no.4, pp.608-621, 1983. 10.1109\/taes.1983.309350","DOI":"10.1109\/TAES.1983.309350"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] M. Ravan and R.S. Adve, \u201cRobust STAP for HFSWR in dense target scenarios with nonhomogeneous clutter,\u201d IEEE Radar Conference, 2012. 10.1109\/radar.2012.6212106","DOI":"10.1109\/RADAR.2012.6212106"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] X. Wang, Y. Li, and N. Zhang, \u201cA robust constant false alarm rate detector based on the Bayesian estimator for the non-homogeneous Weibull Clutter in HFSWR,\u201d Digital Signal Processing, vol.106, no.1, p.102831, 2020. 10.1016\/j.dsp.2020.102831","DOI":"10.1016\/j.dsp.2020.102831"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] F. Liang, Y. Zhou, H. Li, X. Feng, and J. Zhang, \u201cMulti-aircraft formation recognition method of over-the-horizon radar based on deep transfer learning,\u201d IEEE Access, vol.10, pp.115411-115423, 2022. 10.1109\/access.2022.3218702","DOI":"10.1109\/ACCESS.2022.3218702"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] J. Wang, A. Liu, C. Yu, and Y. Ji, \u201cShip formation identification with spatial features and deep learning for HFSWR,\u201d Remote Sensing, vol.16, no.3, p.577, 2024. 10.3390\/rs16030577","DOI":"10.3390\/rs16030577"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] J. Wang, A. Liu, and C. Yu, \u201cShip formation identification method for HFSWR based on deep learning,\u201d IEEE Radar Conference, 2024. 10.1109\/radarconf2458775.2024.10549299","DOI":"10.1109\/RadarConf2458775.2024.10549299"}],"container-title":["IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/5\/E108.A_2024EAL2061\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T03:28:36Z","timestamp":1746242916000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/5\/E108.A_2024EAL2061\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,1]]},"references-count":11,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/transfun.2024eal2061","relation":{},"ISSN":["0916-8508","1745-1337"],"issn-type":[{"type":"print","value":"0916-8508"},{"type":"electronic","value":"1745-1337"}],"subject":[],"published":{"date-parts":[[2025,5,1]]},"article-number":"2024EAL2061"}}