Intel Open Wi-Fi RTT Dataset

Dataset used for "A Machine Learning Approach for Wi-Fi RTT Ranging" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), rangi...

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Bibliographische Detailangaben
1. Verfasser:	Dvorecki, Nir
Format:	Dataset
Sprache:	eng
Schlagworte:	analytical model Artificial Intelligence Artificial neural network Digital signal processing FTM GNSS indoor Localization indoor positioning IoT localization localization error Machine Learning Mapping Navigation neural networks positioning radio navigation Range estimation RTT Trilateration Wearable Sensing Wi-Fi WiFi WiFi indoor localization wireless communication wireless networks
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Beschreibung
Zusammenfassung:	Dataset used for "A Machine Learning Approach for Wi-Fi RTT Ranging" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), ranging, positioning, navigation and other types of research in Wi-Fi indoor location. The zip file includes a README file, a CSV file with the dataset and several Matlab functions to help the user plot the data and demonstrate how to estimate the range. Please see the README file for more details.
DOI:	10.21227/4em3-7g35