@inproceedings{7da5600c7d5146aeb1f3df0f237c6b34,
title = "Multi-Step Optimization of Indoor Localization Accuracy Using Commodity WiFi",
abstract = "We present a Multi-step optimization Localization Algorithm (MoLA) for improved accuracy of indoor localization by WiFi. Using consumer-grade WiFi devices, we can determine the location of an object carrying WiFi device with higher accuracy than the comparable popular systems. MoLA removes the phase error by using calibration, then estimates the angle-of-arrival (AoA) of the signal by combining I-MUSIC algorithm and the minimum description length (MDL) equation. The line-of-sight (LoS) path is identified using our novel estimator function. In the last step, the object location is estimated. Extensive measurement experiments have shown that MoLA can achieve improvement in both median localization and point localization error in a 290 m2 environment having adequate LoS with a single receiver.",
keywords = "Indoor localization, WiFi, channel state information, performance analysis",
author = "Shuyu Li and Sherif Welsen and Vladimir Brusic",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021 ; Conference date: 13-09-2021 Through 16-09-2021",
year = "2021",
month = sep,
day = "13",
doi = "10.1109/PIMRC50174.2021.9569286",
language = "English",
series = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1267--1272",
booktitle = "2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021",
address = "United States",
}