MultiLoc is a MutiBand Localization system that merges information from mmWave and sub-6GHz bands. MultiLoc is implemented on Commercial-Off-The-Shelf (COST) devices and is the first system to achieve less than 18 cm median location error with COST under their normal mode of operation.
If you find MultiLoc useful, we kindly ask you to cite our paper:
@inproceedings{MultiLoc,
author = {Blanco, Alejandro and Mateo, Pablo Jim\'{e}nez and Gringoli, Francesco and Widmer, Joerg},
title = {Augmenting MmWave Localization Accuracy through Sub-6 GHz on off-the-Shelf Devices},
year = {2022},
isbn = {9781450391856},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3498361.3538920},
doi = {10.1145/3498361.3538920},
booktitle = {Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services},
pages = {477–490},
numpages = {14},
keywords = {AoA, indoor localization, wireless networks, ToF, mmWave, CSI},
location = {Portland, Oregon},
series = {MobiSys '22}
}
MultiLoc is implemented in 2 sub-6GHz devices (one for CSI and another for FTM) and in the MikroTik 60GHz device as depicted in the image below:
You can find the instructions below to get the CSI and FTM extractor tools for all the devices.
Sub-6GHZ devices
-
CSI router (ASUS AC1300). The instructions for running the CSI extractor tool are found in this link.
-
FTM router (ASUS AC2900). The instructions for running FTM are found in this link.
mmWave device
- Mikrotik 60GHz device. The instructions for running CSI and FTM extractor tools are found in this link. In addition, this link contains the instructions for calibrating the Mikrotik devices.
Run matlab_scripts/Main.m to run the main of the MultiLoc implementation.
Take into account that the script Main_HF.m is commented since we recommend using the already processed mmWave data of the project.
The scripts Main_LFs are also commented since the mD-track algorithm takes a considerable amount of time to get the path parameters, but feel free to execute it.
MIT License
Copyright (c) 2022 Alejandro Blanco Pizarro and Pablo Jiménez Mateo
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.