Building information aided Wi-Fi fingerprinting positioning system. (October 2018)

• Record Type: Journal Article
• Authors: Sun, Tian; Zheng, Lingxiang; Peng, Ao; Tang, Biyu; Ou, Gang
• Is Part Of: Computers & electrical engineering. Volume 71(2018)
• Page Start: 558
• Page End: 568
• Publication Date: 2018-10
• Subjects: Indoor navigation -- Wi-Fi fingerprinting positioning -- Wireless parameter estimation -- Fingerprints optimization; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2018.08.008
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: In Wi-Fi fingerprinting localization systems, good positioning accuracy requires accurate fingerprint databases; however, the collection of accurate is a labor intensive work. Therefore, the collection, calibration and maintenance of fingerprints in Wi-Fi positioning have always been hot research topics. In this paper, a parameterized fingerprint optimization system is proposed to obtain an accurate fingerprint database. The pairs of RSS (received signal strength) and corresponding position are collected through path survey several times, which makes the collection process more efficient but brings more noise. The wall-induced wireless signal propagation theory taking floor plans into account is used to model the APs through the least squares. The predicted values from theory are combined with survey values for de-noising in fingerprint database. An experiment performed at indoor environment shows that compared with the original fingerprints, the positioning accuracy of the optimized fingerprints is improved by 0.6 m on average from many tests.