Detection of incumbent radar in the 3.5 GHz CBRS band
R Caromi, M Souryal, WB Yang - 2018 IEEE Global Conference …, 2018 - ieeexplore.ieee.org
In the 3.5 GHz Citizens Broadband Radio Service (CBRS), 100 MHz of spectrum will be
shared between commercial users and federal incumbents. Dynamic use of the band relies
on a network of sensors dedicated to detecting the presence of federal incumbent signals
and triggering protection mechanisms when necessary. This paper uses field-measured
waveforms of incumbent signals in and adjacent to the band to evaluate the performance of
matched-filter detectors for these sensors. We find that the proposed detectors exceed the …
shared between commercial users and federal incumbents. Dynamic use of the band relies
on a network of sensors dedicated to detecting the presence of federal incumbent signals
and triggering protection mechanisms when necessary. This paper uses field-measured
waveforms of incumbent signals in and adjacent to the band to evaluate the performance of
matched-filter detectors for these sensors. We find that the proposed detectors exceed the …
Detection of incumbent radar in the 3.5 GHz CBRS band using support vector machines
R Caromi, M Souryal - 2019 Sensor Signal Processing for …, 2019 - ieeexplore.ieee.org
In the 3.5 GHz Citizens Broadband Radio Service (CBRS), 100 MHz of spectrum will be
dynamically shared between commercial users and federal incumbents. Dynamic use of the
band relies on a network of sensors dedicated to detecting the presence of federal
incumbent signals and triggering protection mechanisms when necessary. This paper uses
field-measured waveforms of incumbent signals in and adjacent to the band to evaluate the
performance of support vector machine (SVM) classifiers for these sensors. We find that a …
dynamically shared between commercial users and federal incumbents. Dynamic use of the
band relies on a network of sensors dedicated to detecting the presence of federal
incumbent signals and triggering protection mechanisms when necessary. This paper uses
field-measured waveforms of incumbent signals in and adjacent to the band to evaluate the
performance of support vector machine (SVM) classifiers for these sensors. We find that a …
Showing the best results for this search. See all results