Real-world Radar and LTE Signals Dataset Collected Over-the-air in Shared CBRS Band

Citation Author(s):
Chinenye
Tassie
Northeastern University
Abdo
Gaber
National Instruments
Vini
Chaudhary
Northeastern University
Nasim
Soltani
Northeastern University
Mauro
Belgiovine
Northeastern University
Michael
Loehning
National Instrument
Vincent
Kotzsch
National Instrument
Charles
Schroeder
National Instrument
Kaushik R
Chowdhury
Northeastern 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. 

 

Funding Agency: 
NSF
Grant Number: 
CCRI RFDataFactory project CNS # 2120447