{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T08:33:10Z","timestamp":1723451590590},"reference-count":46,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T00:00:00Z","timestamp":1640131200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"With the development of wireless communication technology, indoor tracking technology has been rapidly developed. Wits presents a new indoor positioning and tracking algorithm with channel state information of Wi-Fi signals. Wits tracks using motion speed. Firstly, it eliminates static path interference and calibrates the phase information. Then, the maximum likelihood of the phase is used to estimate the radial Doppler velocity of the target. Experiments were conducted, and two sets of receiving antennas were used to determine the velocity of a human. Finally, speed and time intervals were used to track the target. Experimental results show that Wits can achieve the mean error of 0.235 m in two different environments with a known starting point. If the starting point is unknown, the mean error is 0.410 m. Wits has good accuracy and efficiency for practical applications.<\/jats:p>","DOI":"10.3390\/rs14010019","type":"journal-article","created":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T07:02:57Z","timestamp":1640242977000},"page":"19","source":"Crossref","is-referenced-by-count":1,"title":["Wits: An Efficient Wi-Fi Based Indoor Positioning and Tracking System"],"prefix":"10.3390","volume":"14","author":[{"given":"Li-Ping","family":"Tian","sequence":"first","affiliation":[{"name":"School of Physics and Information Engineering, Fuzhou University, Fuzhou 350000, China"}]},{"given":"Liang-Qin","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Physics and Information Engineering, Fuzhou University, Fuzhou 350000, China"}]},{"given":"Zhi-Meng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Physics and Information Engineering, Fuzhou University, Fuzhou 350000, China"}]},{"given":"Zhizhang (David)","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Physics and Information Engineering, Fuzhou University, Fuzhou 350000, China"},{"name":"Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS B3J 1Z1, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1109\/TCE.2008.4637573","article-title":"Vision-based location positioning using augmented reality for indoor navigation","volume":"54","author":"Kim","year":"2008","journal-title":"IEEE Trans. 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