NDLI: Measurement and analysis of NLOS identification metrics for WLAN systems

Content Provider	IEEE Xplore Digital Library
Author	Almazrouei, E. Al Sindi, N. Al-Araji, S.R. Ali, N. Chaloupka, Z. Aweya, J.
Copyright Year	2014
Description	Author affiliation: Etisalat-British Telecommun. Innovation Centre (EBTIC), Khalifa Univ. of Sci., Technol. & Res., Abu Dhabi, United Arab Emirates (Almazrouei, E.; Al Sindi, N.; Chaloupka, Z.; Aweya, J.) \|\| Coll. of Eng., Khalifa Univ. of Sci., Technol. & Res., Sharjah, United Arab Emirates (Al-Araji, S.R.; Ali, N.)
Abstract	Indoor localization has received significant attention over the last decade. For WLANs, Received Signal Strength (RSS) based techniques have been the most popular due to the simplicity of measuring the power and the ubiquity of WiFi infrastructure and devices in different indoor environments. Recently, Time-of-arrival (TOA) techniques has been proposed to be incorporated into IEEE 802.11 standards that promise accurate range estimation via hardware time-stamping. Non-line-of sight (NLOS) propagation is a major challenge and many mitigation algorithms have been proposed but their performance is dependent on the accuracy of NLOS identification. By analyzing the moments (e.g. RMS delay, kurtosis) of the time-domain channel impulse response (CIR), it is possible to infer the condition of the channel. Although these metrics have been verified experimentally for ultra-wideband (UWB) systems, their performance for lower-system bandwidths (e.g. WLAN) has not been addressed in the literature. In this paper, using frequency domain channel measurements in a typical indoor office environment, the accuracy of NLOS identification metrics for WLAN systems is analyzed. It is shown that the accuracy of the RMS delay spread and kurtosis is significantly diminished due to low-time resolution of the CIR. Furthermore, it is also shown that by estimating the coherence bandwidth from the channel transfer function, a better NLOS identification metric is obtained in OFDM-based systems. To the best of the authors' knowledge, this experimental analysis to evaluate NLOS identification metrics has never been reported before.
Starting Page	280
Ending Page	284
File Size	668560
Page Count	5
File Format	PDF
ISBN	9781479949120
DOI	10.1109/PIMRC.2014.7136175
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bandwidth Delays Coherence Wireless LAN Transmitters Frequency-domain analysis Time of Arrival NLOS LOS Coherence Bandwidth Indoor Localization WLAN NLOS identification probability
Content Type	Text
Resource Type	Article

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