This dataverse is a collection of datasets of wireless signals that are used to train intelligent microwave receivers realized using programmable memristor analog array (PMAA). Associated with this dataverse are multiple sub-collections for various wireless communication/sensing standards. Each collection consists of datasets for the standards. These datasets may be measured data or synthesized data and at RF carrier frequencies or baseband as indicated.
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May 5, 2022 - WiFi Signals Dataverse
Menon, Arya; Vorobiev, Daniel; He, Chaoyi; Katehi, Linda, 2022, "Ideal Baseband HE-SU 802.11 ax Downlink WiFi Signals with 20 MHz Bandwidth", https://doi.org/10.18738/T8/1XMHZD, Texas Data Repository, V1, UNF:6:s/KucmQCnv+IWdNQQsWudg== [fileUNF]
This dataset consists IQ samples of ideal, single-user (HE-SU), 20 MHz bandwidth, downlink 802.11ax WiFi signals. The signals are generated using the WLAN toolbox in MATLAB (version R2021b). The sampling rate used for data generation is 20 MHz. The payload consists of random bits...
WiFi Signals Dataverse(Texas A and M University)
May 5, 2022
This dataverse is a collection of WiFi signals that are used to train intelligent microwave receivers realized using programmable memristor analog array (PMAA). The datasets consist of signals from various wireless communication/sensing standards and may be measured or synthesize...
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