WiFi-Based Indoor Line-of-Sight Identification

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

77 Scopus Citations
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Author(s)

  • Zheng Yang
  • Chenshu Wu
  • Longfei Shangguan
  • Haibin Cai
  • Yunhao Liu
  • Lionel M. Ni

Detail(s)

Original languageEnglish
Article number7130677
Pages (from-to)6125-6136
Journal / PublicationIEEE Transactions on Wireless Communications
Volume14
Issue number11
Publication statusPublished - 1 Nov 2015
Externally publishedYes

Abstract

Wireless LANs, particularly WiFi, have been pervasively deployed and have fostered myriad wireless communication services and ubiquitous computing applications. A primary concern in designing these applications is to combat harsh indoor propagation environments, particularly Non-Line-Of-Sight (NLOS) propagation. The ability to identify the existence of the Line-Of-Sight (LOS) path acts as a key enabler for adaptive communication, cognitive radios, and robust localization. Enabling such capability on commodity WiFi infrastructure, however, is prohibitive due to the coarse multipath resolution with MAC-layer received signal strength. In this paper, we propose two PHY-layer channel-statistics-based features from both the time and frequency domains. To further break away from the intrinsic bandwidth limit of WiFi, we extend to the spatial domain and harness natural mobility to magnify the randomness of NLOS paths while retaining the deterministic nature of the LOS component. We propose LiFi, a statistical LOS identification scheme with commodity WiFi infrastructure, and evaluate it in typical indoor environments covering an area of 1500 m 2. Experimental results demonstrate that LiFi achieves an overall LOS detection rate of 90.42% with a false alarm rate of 9.34% for the temporal feature and an overall LOS detection rate of 93.09% with a false alarm rate of 7.29% for the spectral feature. © 2002-2012 IEEE.

Research Area(s)

  • Bandwidth, Delays, Feature extraction, IEEE 802.11 Standards, Mobile communication, Performance evaluation, Wireless communication

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Citation Format(s)

WiFi-Based Indoor Line-of-Sight Identification. / Zhou, Zimu; Yang, Zheng; Wu, Chenshu et al.
In: IEEE Transactions on Wireless Communications, Vol. 14, No. 11, 7130677, 01.11.2015, p. 6125-6136.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review