Kaur, J. , Shawky, M. , Mollel, M., Popoola, O. , Imran, M. , Abbasi, Q. and Abbas, H. (2024) Indoor Position Estimation Using Machine Learning. [Data Collection]
Collection description
The dataset comprises data recorded from 9 positions within an indoor environment, under both Line of Sight (LOS) and Non-Line of Sight (NLOS) conditions, marked in a square grid and divided into blocks of varying sizes (1 meter, 0.75 meters, and 0.5 meters). Data is organised into 4 text files for each of the 9 positions, capturing amplitude and phase values from 2 receiving antennas, resulting in a total of 36 files. Each file contains 125 x 500 samples, translating to Channel State Information (CSI) matrices combining amplitude and phase information for both channels.
| College / School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
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| Date Deposited: | 04 Mar 2024 09:25 |
| URI: | https://researchdata.gla.ac.uk/id/eprint/1603 |
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