Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151316
Title: Precise power delay profiling with commodity Wi-Fi
Authors: Xie, Yaxiong
Li, Zhenjiang
Li, Mo
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Xie, Y., Li, Z. & Li, M. (2018). Precise power delay profiling with commodity Wi-Fi. IEEE Transactions On Mobile Computing, 18(6), 1342-1355. https://dx.doi.org/10.1109/TMC.2018.2860991
Project: RG125/17
MOE2016-T2-2-023
M4081879
Journal: IEEE Transactions on Mobile Computing
Abstract: Power delay profiles characterize multipath channel features, which are widely used in motion-or localization-based applications. The performance of power delay profile obtained using commodity Wi-Fi devices is limited by two dominating factors. The resolution of the derived power delay profile is determined by the channel bandwidth, which is however limited on commodity WiFi. The collected CSI reflects the signal distortions due to both the channel attenuation and the hardware imperfection. A direct derivation of power delay profiles using raw CSI measures, as has been done in the literature, results in significant inaccuracy. In this paper, we present Splicer, a software-based system that derives high-resolution power delay profiles by splicing the CSI measurements from multiple WiFi frequency bands. We propose a set of key techniques to separate the mixed hardware errors from the collected CSI measurements. Splicer adapts its computations within stringent channel coherence time and thus can perform well in the presence of mobility. Our experiments with commodity WiFi NICs show that Splicer substantially improves the accuracy in profiling multipath characteristics, reducing the errors of multipath distance estimation to be less than 2m. Splicer can immediately benefit upper-layer applications. Our case study with recent single-AP localization achieves a median localization error of 0.95m.
URI: https://hdl.handle.net/10356/151316
ISSN: 1536-1233
DOI: 10.1109/TMC.2018.2860991
Rights: © 2018 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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