{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T16:47:30Z","timestamp":1778345250263,"version":"3.51.4"},"reference-count":82,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,19]],"date-time":"2018-04-19T00:00:00Z","timestamp":1524096000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This work revises existing solutions for a problem of target localization in wireless sensor networks (WSNs), utilizing integrated measurements, namely received signal strength (RSS) and angle of arrival (AoA). The problem of RSS\/AoA-based target localization became very popular in the research community recently, owing to its great applicability potential and relatively low implementation cost. Therefore, here, a comprehensive study of the state-of-the-art (SoA) solutions and their detailed analysis is presented. The beginning of this work starts by considering the SoA approaches based on convex relaxation techniques (more computationally complex in general), and it goes through other (less computationally complex) approaches, as well, such as the ones based on the generalized trust region sub-problems framework and linear least squares. Furthermore, a detailed analysis of the computational complexity of each solution is reviewed. Furthermore, an extensive set of simulation results is presented. Finally, the main conclusions are summarized, and a set of future aspects and trends that might be interesting for future research in this area is identified.<\/jats:p>","DOI":"10.3390\/s18041266","type":"journal-article","created":{"date-parts":[[2018,4,20]],"date-time":"2018-04-20T04:24:21Z","timestamp":1524198261000},"page":"1266","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":69,"title":["On Target Localization Using Combined RSS and AoA Measurements"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5537-6716","authenticated-orcid":false,"given":"Slavisa","family":"Tomic","sequence":"first","affiliation":[{"name":"COPELABS, Universidade Lus\u00f3fona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, Portugal"},{"name":"ISR\/IST, LARSyS, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7315-8739","authenticated-orcid":false,"given":"Marko","family":"Beko","sequence":"additional","affiliation":[{"name":"COPELABS, Universidade Lus\u00f3fona de Humanidades e Tecnologias, Campo Grande 376, 1749-024 Lisboa, Portugal"},{"name":"CTS\/UNINOVA, Campus da FCT\/UNL, Monte de Caparica, 2829-516 Caparica, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Dinis","sequence":"additional","affiliation":[{"name":"Dep.<sup>o<\/sup> de Eng.<sup>a<\/sup> Electrot\u00e9cnica, Faculdade de Ci\u00eancias e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal"},{"name":"Instituto de Telecomunica\u00e7\u00f5es, Av. Rovisco Pais 1, Torre Norte, piso 10, 1049-001 Lisboa, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3384-9997","authenticated-orcid":false,"given":"Lu\u00eds","family":"Bernardo","sequence":"additional","affiliation":[{"name":"Dep.<sup>o<\/sup> de Eng.<sup>a<\/sup> Electrot\u00e9cnica, Faculdade de Ci\u00eancias e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal"},{"name":"Instituto de Telecomunica\u00e7\u00f5es, Av. Rovisco Pais 1, Torre Norte, piso 10, 1049-001 Lisboa, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,19]]},"reference":[{"key":"ref_1","unstructured":"Patwari, N. (2005). Location Estimation in Sensor Networks. [Ph.D. Thesis, University of Michigan]."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Rongbai, Z., and Guohua, C. (2010, January 21\u201324). 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