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First, the indoor environment of the building is regionalized in the training phase of indoor positioning. Then, the adjacent points of the indoor space with the same wireless signal transmission characteristics are gathered into the same area, and the corresponding parameter sets and decision domains of each area are constructed. After that, during the positioning stage, the regional confidence and receiving signal\u2019s strength are used to predict the indoor area where the mobile station is located. Finally, the ranging and solution results of the traditional three-sided positioning process are constrained to obtain the optimal solution. Comparing with the traditional positioning techniques that regard the entire complex indoor environment as an entirety, the proposed indoor space regionalization preprocessing method can effectively reduce the ranging error. Compared with the indiscriminate data fusion of the centroid method, the data filtering method based on regional confidence is more targeted. In the experiment, a practical office area is used to test our proposal\u2019s performance, and the experimental results show that our approach can effectively improve the accuracy of indoor positioning results.<\/jats:p>","DOI":"10.1155\/2020\/8822288","type":"journal-article","created":{"date-parts":[[2020,8,11]],"date-time":"2020-08-11T23:45:24Z","timestamp":1597189524000},"page":"1-10","source":"Crossref","is-referenced-by-count":1,"title":["An Improved Indoor Positioning Technique Based on Receiving Signal\u2019s Strength"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3008-8782","authenticated-orcid":true,"given":"Xingsi","family":"Xue","sequence":"first","affiliation":[{"name":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350118, China"},{"name":"Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guilin 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