文章基本信息

标题：Properties of WLAN Indoor Fingerprinting Received Signal Strength for Localization
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作者：Peluso, Alessandra ; Peyretti, Enrico ; Cavallera, Hervé A. 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2019
卷号：67
期号：8
页码：69-74
DOI：10.14445/22312803/IJCTT-V67I8P112
出版社：Seventh Sense Research Group
摘要：Indoor positioning systems that make use of received signal strengthbased location fingerprints and existing wireless local area network infrastructure have recently been the focus for supporting locationbased services in indoor environment. A familiarity and understanding of the properties of the location fingerprint can assist in algorithm design and improving indoor positioning system deployment. However, most existing research work on the radio signals properties has been conducted, the requirements may differ from various algorithms. This paper investigates the properties of the received signal strength reported by IEE 802.11b wireless network interface cards. Analyses of the data are performed to understand the underlying features of location fingerprints to assist in model design. The measured data also analyses to understand the distribution model to the measured data.
关键词：Indoor; WLAN; RSS; Modelling; Localization; Positioning system.