MIMOSigRef-SD

The MIMOSigRef-SD dataset was created with the goal to support the research community in the design and development of novel multiple-input multiple-ouotput (MIMO) transceiver architectures. It was recorded using software radios as transmitters and receivers, and a wireless channel emulator to facilitate a realistic representation of a variety of different channel environments and conditions. This dataset was also used in the study of an Automatic Modulation Classification (AMC) or also known as Automatic Modulation Identification (AMI) system design, which is one of the application domains supported by this dataset. The transmitters generate a wide variety of signal streams modulated using one of the following modulation schemes in a variety of different modulation orders:

•M-QAM consists of following orders: 256, 128, 64, 32 and 16

•MIL-STD-188-110 B/C standard-specific QAM consists of following orders: 256, 64, 32 and 16

•M-PSK consists of following orders: 256, 128, 64, 32 and 16

•M-APSK consists of following orders: 64, 32 and 16

•DVB-S2 standard-specific APSK consists of following orders: 32 and 16

•DVB-S2X standard-specific APSK consists of following orders: 256, 128, 64, 32 and 16

•DVB-SH standard-specific APSK consists of following orders: 16

•M-PAM consists of following orders: 256, 128, 64, 32 and 16

Each modulation scheme was also generated in a variety of Spatial Diversity (SD) MIMO system configurations, ranging from 1x1 (SISO) through 4x4 MIMO.  Each signal was exposed to one of 5 different channel environments, ranging from Butler to Vehicular-B, with a signal-to-noise ratio ranging from -20 up to +30 dB. This dataset provides all of the generated bit sequences, channel configurations, and received symbols at 2450 MHz center frequency. This technical work has been published in IEEE Transactions on Instrumentation and Measurement (TIM) with following identifier as in Google Scholar:

@article{ghasemzadeh2021spatial,
	title={A Spatial-Diversity MIMO Dataset for RF Signal Processing Research},
	author={Ghasemzadeh, Pejman and Hempel, Michael and Banerjee, Subharthi and Sharif, Hamid},
	journal={IEEE Transactions on Instrumentation and Measurement},
	volumne={70},
	year={2021},
	DOI={10.1109/TIM.2021.3073441},
	publisher={IEEE}
}

**Our near-term plan is to further expand this dataset by also providing coverage for Spatial Multiplexing. This dataset named MIMOSigRef-SM can be accessed via same platform, i.e., IEEE DataPort.**