activity
20202023
most citedSignal Structure of the Starlink Ku-Band Downlink

146 citations · 151 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023

Signal Identification and Entrainment for Practical FMCW Radar Spoofing Attacks

Andrew M. Graff, Todd E. Humphreys

This paper proposes a method of passively estimating the parameters of frequency-modulated-continuous-wave (FMCW) radar signals with a wide range of structural parameter values and…

eess.SP2022★ 146 cited

Signal Structure of the Starlink Ku-Band Downlink

Todd E. Humphreys, Peter A. Iannucci, Zacharias Komodromos +1

We develop a technique for blind signal identification of the Starlink downlink signal in the 10.7 to 12.7 GHz band and present a detailed picture of the signal's structure. Import…

eess.SP2022★ 2 cited

Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave Vehicle-to-Infrastructure Communication

Andrew Graff, Yun Chen, Nuria González-Prelcic +1

Configuring millimeter wave links following a conventional beam training protocol, as the one proposed in the current cellular standard, introduces a large communication overhead,…

eess.SP2021★ 2 cited

Radar Aided mmWave Vehicle-to-InfrastructureLink Configuration Using Deep Learning

Yun Chen, Andrew Graff, Nuria González-Prelcic +1

The high overhead of the beam training process is the main challenge when establishing mmWave communication links, especially for vehicle-to-everything (V2X) scenarios where the ch…

eess.SP2020★ 1 cited

End-to-End Radio Fingerprinting with Neural Networks

Ryan M. Dreifuerst, Andrew Graff, Sidharth Kumar +2

This paper presents a novel method for classifying radio frequency (RF) devices from their transmission signals. Given a collection of signals from identical devices, we accurately…