{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:09:36Z","timestamp":1760234976201,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T00:00:00Z","timestamp":1624924800000},"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>All existing hybrid target localization algorithms using received signal strength (RSS) and angle of arrival (AOA) measurements in wireless sensor networks, to the best of our knowledge, assume a single target such that even in the presence of multiple targets, the target localization problem is translated to multiple single-target localization problems by assuming that multiple measurements in a node are identified with their originated targets. Herein, we first consider the problem of multi-target localization when each anchor node contains multiple RSS and AOA measurement sets of unidentified origin. We propose a computationally efficient method to cluster RSS\/AOA measurement sets that originate from the same target and apply the existing single-target linear hybrid localization algorithm to estimate multiple target positions. The complexity analysis of the proposed algorithm is presented, and its performance under various noise environments is analyzed via simulations.<\/jats:p>","DOI":"10.3390\/s21134455","type":"journal-article","created":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T22:39:43Z","timestamp":1625006383000},"page":"4455","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Multi-Target Localization Based on Unidentified Multiple RSS\/AOA Measurements in Wireless Sensor Networks"],"prefix":"10.3390","volume":"21","author":[{"given":"Seyoung","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Korea University, Seoul 02841, Korea"}]},{"given":"Taehyun","family":"Kim","sequence":"additional","affiliation":[{"name":"Agency for Defense Development, Daejeon 34186, Korea"}]},{"given":"Wonzoo","family":"Chung","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Korea University, Seoul 02841, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,29]]},"reference":[{"key":"ref_1","unstructured":"Patwari, N. 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