cognitive radio
A synthetic signal dataset of 12 different modulations (including PSK, QPSK, 8PSK, QFSK, 8FSK, 16APSK, 16QAM, 64QAM, 4PAM, LFM, DSB-SC, and SSBSC) with different DOAs (discrete angles ranging from -60° to 60° with the step size of 1°) is generated using MATLAB 2021a. Regarding the signal model configuration for the data generation, we specify a uniform linear antenna array of M = 5 elements to acquire incoming signals having N = 1024 envelope complex samples, thus conducting an I/Q data array of size 1024 × 2 × 5.
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This data set is the capture of the Radio Frequency emissions from 9 IoT devices using an USRP Software Defined Radio. The data set is in MATLAB format and it stores the IQ samples of the signals in space. The data set can be used for experimental and analysis on Radio Frequency identification and authentication.
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In order to increase the diversity in signal datasets, we create a new dataset called HisarMod, which includes 26 classes and 5 different modulation families passing through 5 different wireless communication channel. During the generation of the dataset, MATLAB 2017a is employed for creating random bit sequences, symbols, and wireless fading channels.
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The MATLAB program provides the performance of a sliding window based detection for a pulse radar signal.
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The MATLAB program provides the performance of a sliding window based detection for a pulse radar signal.
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535 Views