{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:38:02Z","timestamp":1753882682595,"version":"3.41.2"},"reference-count":28,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271486"],"award-info":[{"award-number":["62271486"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Provincial Department of Housing and Urban Rural Construction Project","award":["2017ZD050"],"award-info":[{"award-number":["2017ZD050"]}]},{"DOI":"10.13039\/501100018615","name":"Key University Science Research Project of Jiangsu Province","doi-asserted-by":"publisher","award":["21KJA560003"],"award-info":[{"award-number":["21KJA560003"]}],"id":[{"id":"10.13039\/501100018615","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Collaborative Innovation Center for Building Energy Saving and Construct Technology Project","award":["SJXTBS2125","SJXTZD2103"],"award-info":[{"award-number":["SJXTBS2125","SJXTZD2103"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2023,3,30]]},"abstract":"<jats:p> Using wearable devices to realize the mining and application of human behavior patterns has become a hotspot in the field of intelligent positioning. Wearable devices provide an analyzable data foundation for indoor spatial distribution and human behavior pattern prediction. The development of the intelligent positioning system based on RSSI has encountered a bottleneck that it is difficult to improve the positioning accuracy. Therefore, some research works started emphasizing location technology based on channel state information (CSI). In this paper, the principle used by Wi-Fi channel state information to realize intelligent positioning is described, the characteristics of CSI are analyzed, and an intelligent positioning algorithm based on CSI is proposed. Specifically, the algorithm first estimates the angle of arrival (AoA) based on the MUSIC algorithm, separates the reflected paths in the multipath components, and accurately estimates the AoA of each path. Second, phase estimation with channel state information is achieved by forming different antenna subarray measurements under the consideration of a subset of antennas and subcarriers. Then, the phase response linear fitting of the data packet CSI is eliminated using the ToF purification algorithm to obtain the corrected phase response and realize the elimination of the STO noise of the channel state information. Finally, the target position is calculated by effectively filtering the reflection path through the likelihood value, and the accurate target positioning function is achieved. The experimental results demonstrate that the intelligent positioning algorithm proposed in this paper can achieve decimeter-level positioning accuracy under the condition of a fixed number of APs, and the average error is better than that of deep learning-based and SVM-based positioning algorithms. In other words, the accuracy of intelligent positioning is improved. <\/jats:p>","DOI":"10.1142\/s0218001423590061","type":"journal-article","created":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T09:54:57Z","timestamp":1675418097000},"source":"Crossref","is-referenced-by-count":0,"title":["Intelligent Positioning Algorithm Based on CSI Channel Mode"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1548-1463","authenticated-orcid":false,"given":"Wenjie","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Building Intelligence, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, Jiangsu 221000, P. R. China"}]},{"given":"Zhenzhen","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Sciences and Technology, China University of Mining and Technology, Xuzhou, Jiangsu 221000, P. R. China"}]},{"given":"Zongqian","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Sciences and Technology, China University of Mining and Technology, Xuzhou, Jiangsu 221000, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2023,3,11]]},"reference":[{"key":"S0218001423590061BIB001","first-page":"15","volume-title":"Proc. 27th Annu. Int. Conf. Mobile Computing and Networking","author":"Alemdar K.","year":"2021"},{"key":"S0218001423590061BIB002","first-page":"775","volume-title":"Proc. IEEE INFOCOM 2000: Conf. Computer Communications: Nineteenth Annu. Joint Conf. 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