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Search Publications by: Aric Sanders (Fed)

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Displaying 1 - 25 of 110

On Comparing Interference Impacts

October 9, 2024
Author(s)
Aric Sanders, Michelle Pirrone, Keith Forsyth, Adam Wunderlich
Interference between communication systems is a critical issue that can impact performance and operability of devices. A wide range of methods and testbeds have been developed to study susceptibility to interference, and each of these testbeds and their

Collection Methods for High-SNR I/Q Recordings of FDD LTE User Equipment Emissions

May 3, 2024
Author(s)
Keith Forsyth, Aric Sanders, Dan Kuester, Adam Wunderlich
This report documents collection methods for high signal-to-noise ratio (SNR) in-phase and quadrature (I/Q) radio frequency (RF) recordings of long-term evolution (LTE) uplink emissions from a commercial-off-the-shelf (COTS) handset in a fully conducted

ATIC: Automated Testbed for Interference Testing in Communication Systems

December 25, 2023
Author(s)
Michelle Pirrone, Keith Forsyth, Jordan Bernhardt, Dan Kuester, Aric Sanders, Duncan McGillivray, Adam Wunderlich
The proliferation of communication devices and systems has led to increasingly complex and dynamic spectral environments. This greatly impacts the operations of a multitude of organizations, including commercial entities, academic and non-commercial

Empirical Differences in LTE Open- and Closed-Loop power Control

February 10, 2022
Author(s)
Azizollah Kord, Jason Coder, Aric Sanders
We present the empirical Physical Uplink Shared Channel (PUSCH) radiated power of a User Equipment (UE) in a commercial Long-Term Evolution (LTE) frequency division duplex system. We measured the radiated PUSCH channel power while varying 28 different

Laboratory Method for Recording AWS-3 LTE Waveforms

May 11, 2021
Author(s)
Aric Sanders, Keith Forsyth, Rob Horansky, Azizollah Kord, Duncan McGillivray
The focus of this work provides a library of actual long-term evolution (LTE) user equipment (UE) emissions with sufficient time resolution and dynamic range for use in spectrum sharing, and interference susceptibility studies. National Advanced Spectrum

Characterizing LTE User Equipment Emissions Under Closed-Loop Power Control

April 6, 2021
Author(s)
Jason Coder, Aric Sanders, Michael R. Frey, Adam Wunderlich, Azizollah Kord, Jolene Splett, Lucas N. Koepke, Daniel Kuester, Duncan McGillivray, John M. Ladbury
This report presents a laboratory-based characterization of Long Term Evolution (LTE) User Equipment (UE) emissions under closed-loop power control, building on our prior work (NIST TN 2069), which assessed the impact of a large number of factors affecting

AWS-3 LTE Impacts on Aeronautical Mobile Telemetry

February 25, 2021
Author(s)
William F. Young, Duncan McGillivray, Adam Wunderlich, Mark Krangle, Jack Sklar, Aric Sanders, Keith Forsyth, Mark A. Lofquist, Dan Kuester
This technical report details an effort to design, demonstrate, and validate a test methodology to measure the impacts of Long Term Evolution (LTE) User Equipment (UE) emissions in the advanced wireless services 3 (AWS-3) band on aeronautical mobile

Characterizing LTE User Equipment Emissions: Factor Screening

September 30, 2019
Author(s)
Jason Coder, Adam Wunderlich, Michael R. Frey, Paul T. Blanchard, Dan Kuester, Azizollah Kord, Max Lees, Aric Sanders, Jolene Splett, Lucas N. Koepke, Rob Horansky, Duncan McGillivray, John M. Ladbury, Jeffrey T. Correia, Venkatesh Ramaswamy, Jerediah Fevold, Shawn Lefebre, Jacob K. Johnson, John Carpenter, Mark Lofquist, Keith Hartley, Melissa Midzor
Characterizations of long-term evolution (LTE) user equipment (UE) emissions are a key ingredient in models of interference between wireless cellular networks and other systems that must use the same radio frequency spectrum. This report presents (i) a

Machine Learning in a Quality Managed RF Measurement Workflow

July 6, 2019
Author(s)
Aric Sanders, John Bass, Arpita Bhutani, Mary A. Ho, Jim Booth
Advances in artificial intelligence, or more specifically machine learning, have made it possible for computers to recognize patterns as well or better than humans. The process of quality management in radio-frequency measurements is an arduous one that

Large-Signal-Network-Analyzer Phase Calibration on an Arbitrary Grid

April 30, 2019
Author(s)
Aric Sanders, Dylan Williams, Joshua Kast, Kate Remley, Rob Horansky
We have developed a method for improving the synchronization of large-signal network analyzers and transferring "cross-frequency" phase calibrations from a calibrated sampling oscilloscope to the large-signal vector network analyzer on an arbitrary