Standard-based Wireless Signals
datasetposted on 22.07.2019 by Kürşat Tekbıyık, Özkan Akbunar, Ali Rıza Ekti, Gunes Karabulut Kurt, Ali Görçin
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
In the experiments, Agilent vector signal generator (VSG) E4438C is used for emulating the unknown signal source as transmitter. The standard-based signals are generated utilizing the corresponding libraries that are loaded into the VSG. Set of generated standard signals consist of WCDMA, LTE, GSM, CDMA2000, DECT, WLAN, Bluetooth, and DVB signals. Agilent PSA Series vector signal analyzer (VSA) E4440A is used as receiver to capture the measurement data. Besides, the VSA is capable of providing baseband in-phase/quadrature(I/Q) samples as its output. 115 standard based signals are generated in different signal–to–noise ratio(SNR) levels with non line–of–sight(NLOS) and line–of–sight(LOS) conditions by using measurement setup. 67 of them have been used to train the SVM model. Their SCFs are estimated and used to train SVM. The rest of the signals are used as test signals to investigate performance of the proposed classifier model. While the train set includes the most of the LOS signals, the test set is mainly composed of NLOS signals. Dataset is used in the conference paper "On the Investigation of the Wireless Signal Identification Using Spectral Correlation Function and Support Vector Machines" submitted for possible publication in 2019 IEEE Wireless Communications & Networking Conference (WCNC 2019)