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Real-world Radar and LTE Signals Dataset Collected Over-the-air in Shared CBRS Band
- Citation Author(s):
-
ChinenyeTassie
Northeastern UniversityViniChaudharyNortheastern UniversityNasimSoltaniNortheastern University - Submitted by:
- Chinenye Tassie
- Last updated:
- Fri, 10/28/2022 - 16:53
- DOI:
- 10.21227/zdg0-7242
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Abstract
Opening up of the CBRS band for the secondary users' transmissions poses challenges in the protection of incumbent radar users from co-channel interference. The use of Machine Learning algorithms for addressing these challenges requires representative real-world datasets.This dataset contains overlapping radar and LTE signals captures over-the-air in the shared CBRS band using an experimental testbed composed of software defined radios in RF anechoic chamber. We collected this dataset using our open-source RF data recording API tool.
This dataset contains simultaneous transmissions of LTE signals of different bandwidth and test models, and type 1 radar generated by National Institute of Standards and Technology’s radar waveform generator. The collected samples are captured in overlapping and non-overlapping scenarios for a wide SINR range of 15 − 35 dB. The collected samplesare saved in SigMF format with a corresponding SigMF meta file of the same name. The meta file contains the parameters of the data collection such as sampling rate, number of samples and center frequency. The resulting dataset is 55.5GB containing 5640 samples, each with a frame duration 40ms and collected at 30.72MHz sampling rate.
