{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T13:02:49Z","timestamp":1769605369759,"version":"3.49.0"},"reference-count":37,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,12,23]],"date-time":"2018-12-23T00:00:00Z","timestamp":1545523200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61703114, 61673126 and U1701261"],"award-info":[{"award-number":["61703114, 61673126 and U1701261"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, an efficient high-order propagator method is proposed to localize near-field sources. We construct a specific non-Hermitian matrix based on the high-order cumulant of the received signals. With its columns and rows, we can obtain two subspaces orthogonal to all the columns of two steering matrices, respectively, with which the estimation of the directions of arrival (DOA) and ranges of near-field sources can be achieved. Different from other methods, the proposed method needs only one matrix for estimating two parameters separately, therefore leading to a smaller computational burden. Simulation results show that the proposed method achieves the same performance as the other high order statistics-based methods with a lower complexity.<\/jats:p>","DOI":"10.3390\/s19010054","type":"journal-article","created":{"date-parts":[[2018,12,24]],"date-time":"2018-12-24T10:37:49Z","timestamp":1545647869000},"page":"54","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Low-Complexity High-Order Propagator Method for Near-Field Source Localization"],"prefix":"10.3390","volume":"19","author":[{"given":"Jianzhong","family":"Li","sequence":"first","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1461-2003","authenticated-orcid":false,"given":"Yide","family":"Wang","sequence":"additional","affiliation":[{"name":"Institut d\u2019Electronique et T\u00e9l\u00e9communications de Rennes (IETR), Universit\u00e9 de Nantes, UMR CNRS 6164, Rue Christian Pauc BP 50609, 44306 Nantes, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C\u00e9dric","family":"Le Bastard","sequence":"additional","affiliation":[{"name":"Institut d\u2019Electronique et T\u00e9l\u00e9communications de Rennes (IETR), Universit\u00e9 de Nantes, UMR CNRS 6164, Rue Christian Pauc BP 50609, 44306 Nantes, France"},{"name":"Cerema, Project-Team ENDSUM, 49136 Les Ponts de C\u00e9, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongze","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoyang","family":"Men","sequence":"additional","affiliation":[{"name":"School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/0165-1684(95)00126-3","article-title":"Modified MUSIC algorithm for estimating DOA of signals","volume":"48","author":"Debasis","year":"1996","journal-title":"Signal Process."},{"key":"ref_2","unstructured":"Karim, A.M., Hua, Y.B., and Adel, B. 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