{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T12:04:25Z","timestamp":1769947465749,"version":"3.49.0"},"reference-count":45,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,2,8]],"date-time":"2018-02-08T00:00:00Z","timestamp":1518048000000},"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":["61401174"],"award-info":[{"award-number":["61401174"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61301294"],"award-info":[{"award-number":["61301294"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Program of Huizhou","award":["2015B010002010"],"award-info":[{"award-number":["2015B010002010"]}]},{"name":"Ph.D. Research Startup Foundation of Huizhou University","award":["156020023"],"award-info":[{"award-number":["156020023"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>The sparse distribution of targets in monitored areas is an important prior for device-free localization (DFL) with radio tomography networks. In this article, our goal is to develop an enhanced sparse representation-based DFL method that takes the full potential of sparsity for location reconstruction. An expanded sensing matrix spanning the concatenation of a sampling matrix and a unit error-correcting base is proposed for modelling the measurement process. The sampling matrix can either be composed of the ellipse model from calibrated networks or the received signal strength (RSS) fingerprint-based model induced by training samples with one person at predefined locations. Thus, the sparsity of targets is enhanced under the expanded sensing matrix and the     \u2113 1    -minimization-based approximations are derived for the recovery of locations. Experimental studies in an open outdoor scenario, in a line-of-sight (LOS) indoor scenario, and in a non-line-of-sight (NLOS) indoor scenario, are conducted to verify the efficacy of the proposed method.<\/jats:p>","DOI":"10.3390\/jsan7010007","type":"journal-article","created":{"date-parts":[[2018,2,9]],"date-time":"2018-02-09T12:46:27Z","timestamp":1518180387000},"page":"7","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Enhanced Sparse Representation-Based Device-Free Localization with Radio Tomography Networks"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9555-7511","authenticated-orcid":false,"given":"Tong","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Electronics Engineering, Huizhou University, Huizhou 516007, China"}]},{"given":"Xiaomu","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510006, China"}]},{"given":"Zhuoqian","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Jinan University, Guangzhou 510632, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,2,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/MWC.2016.1500177WC","article-title":"Toward ubiquitous LBS: Multi-radio localization and seamless positioning","volume":"23","author":"Zou","year":"2016","journal-title":"IEEE Wirel. 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