Preliminary UWB Propagation Measurements in an Underground Limestone Mine. - Haris Ioannis Volos; Christopher Robert Anderson; William C. Headley; R. Michael Buehrer; Claudio R. C. M. da Silva; Antonio Nieto (GLOBECOM, 2007)

Low Antenna Ultra Wideband Propagation Measurements and Modeling in a Forest Environment. - Christopher Robert Anderson; Haris Ioannis Volos; William C. Headley; Francisco C. B. F. Müller; R. Michael Buehrer (WCNC, 2008)

Distributed Cyclic Spectrum Feature-Based Modulation Classification. - William C. Headley; Jesse D. Reed; Claudio R. C. M. da Silva (WCNC, 2008)

Low-Antenna Ultra Wideband Spatial Correlation Analysis in a Forest Environment. - Christopher Robert Anderson; Haris Ioannis Volos; William C. Headley; R. Michael Buehrer; Francisco C. B. F. Müller (VTC Spring, 2009)

Exploiting Radio Correlation and Reliability Information in Collaborative Spectrum Sensing. - William C. Headley; Venkata Gautham Chavali; Claudio R. C. M. da Silva (IEEE Commun. Lett., 2011)

Asynchronous Classification of Digital Amplitude-Phase Modulated Signals in Flat-Fading Channels. - William C. Headley; Claudio R. C. M. da Silva (IEEE Trans. Commun., 2011)

Maximum-likelihood modulation classification with incomplete channel information. - William C. Headley; Venkata Gautham Chavali; Claudio R. C. M. da Silva (ITA, 2013)

Automatic Modulation Classification under IQ Imbalance Using Supervised Learning. - Marc Lichtman; William C. Headley; Jeffrey H. Reed (MILCOM, 2013)

Practical Issues for Spectrum Management With Cognitive Radios. - Stephen M. Dudley; William C. Headley; Marc Lichtman; Eyosias Yoseph Imana; Xiaofu Ma; Mahi Abdelbar; Aditya V. Padaki; Abid Ullah; Munawwar M. Sohul; Taeyoung Yang; Jeffrey H. Reed (Proc. IEEE, 2014)

Enhanced PHY-layer security via co-channel underlays. - Alan J. Michaels; William C. Headley; Joseph M. Ernst; Seth D. Hitefield (IPCCC, 2016)

Signal detection effects on deep neural networks utilizing raw IQ for modulation classification. - Steven Conrad Hauser; William C. Headley; Alan J. Michaels (MILCOM, 2017)

Robust blind spectral estimation in the presence of non-Gaussian noise. - Joel T. Kees; Joseph M. Ernst; William C. Headley; A. A. Louis Beex (MILCOM, 2017)

Estimation of transmitter I/Q imbalance using convolutional neural networks. - Lauren J. Wong; William C. Headley; Alan J. Michaels (CCWC, 2018)

Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification. - Lauren J. Wong; William C. Headley; Seth Andrews; Ryan M. Gerdes; Alan J. Michaels (MILCOM, 2018)

Deep Reinforcement Learning for Dynamic Spectrum Access in Wireless Networks. - Yue Xu; Jianyuan Yu; William C. Headley; R. Michael Buehrer (MILCOM, 2018)

Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. - Yi Shi 001; Kemal Davaslioglu; Yalin E. Sagduyu; William C. Headley; Michael Fowler; Gilbert Green (DySPAN, 2019)

Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study. - William H. Clark; Vanessa Arndorfer; Brook Tamir; Daniel Kim; Cristian Vives; Hunter Morris; Lauren J. Wong; William C. Headley (MILCOM, 2019)

Communications Aware Adversarial Residual Networks for over the Air Evasion Attacks. - Bryse Flowers; R. Michael Buehrer; William C. Headley (MILCOM, 2019)

FHSS Signal Separation using Constrained Clustering. - Parker D. White; R. Michael Buehrer; William C. Headley (MILCOM, 2019)

Distributed Automatic Modulation Classification with Compressed Data. - Lauren J. Wong; Parker D. White; Michael Fowler; William C. Headley (MILCOM, 2019)

On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition. - Samuel Bair; Matthew DelVecchio; Bryse Flowers; Alan J. Michaels; William C. Headley (WiseML@WiSec, 2019)

Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators. - Lauren J. Wong; William C. Headley; Alan J. Michaels (IEEE Access, 2019)

FPGA Implementation of a Pseudo-Random Signal Generator for RF Hardware Test and Evaluation. - Randeep S. Baweja; Devin B. Ridge; Harpreet S. Dhillon; William C. Headley (IPCCC, 2020)

When is Enough Enough? "Just Enough" Decision Making with Recurrent Neural Networks for Radio Frequency Machine Learning. - Megan O. Moore; William H. Clark; R. Michael Buehrer; William C. Headley (IPCCC, 2020)

Resilience Improvements for Space-Based Radio Frequency Machine Learning. - Lauren J. Wong; Emily Altland; Joshua Detwiler; Paolo Fermin; Julia Mahon Kuzin; Nathan Moeliono; Abdelrahman Said Abdalla; William C. Headley; Alan J. Michaels (ISNCC, 2020)

Effects of Forward Error Correction on Communications Aware Evasion Attacks. - Matthew DelVecchio; Bryse Flowers; William C. Headley (PIMRC, 2020)

Investigating a spectral deception loss metric for training machine learning-based evasion attacks. - Matthew DelVecchio; Vanessa Arndorfer; William C. Headley (WiseML@WiSec, 2020)

When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions. - Yalin E. Sagduyu; Yi Shi 001; Tugba Erpek; William C. Headley; Bryse Flowers; George Stantchev; Zhuo Lu (CoRR, 2020)

Training Data Augmentation for Deep Learning RF Systems. - William H. Clark IV; Steven Conrad Hauser; William C. Headley; Alan J. Michaels (CoRR, 2020)

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications. - Bryse Flowers; R. Michael Buehrer; William C. Headley (IEEE Trans. Inf. Forensics Secur., 2020)

Multi-Antenna Pre-processing for Improved RFML in Congested Spectral Environments. - M. R. Williamson; William C. Headley; William H. Clark; Joey McCollum; Thomas Krauss; Lauren O. Lusk; D. Jenkins; T. Villemez; Megan O. Moore; Daniel J. Jakubisin; A. Poetter; Alan J. Michaels; et al. (DySPAN, 2021)

Scaled-Time-Attention Robust Edge Network. - Richard Lau; Lihan Yao; Todd Huster; William Johnson; Stephen Arleth; Justin Wong; Devin B. Ridge; Michael Fletcher; William C. Headley (CoRR, 2021)

An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. - Lauren J. Wong; William H. Clark; Bryse Flowers; R. Michael Buehrer; William C. Headley; Alan J. Michaels (IEEE Open J. Commun. Soc., 2021)

A Comparative Overview of Automotive Radar Spoofing Countermeasures. - Minh A. Vu; William C. Headley; Kevin P. Heaslip (CSR, 2022)

Considerations of Reinforcement Learning within Real-Time Wireless Communication Systems. - Alyse M. Jones; William C. Headley (MILCOM, 2022)

Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features. - J. B. Persons; Lauren J. Wong; Megan O. Moore; William C. Headley; Michael Fowler (MILCOM, 2022)

Countering Physical Eavesdropper Evasion with Adversarial Training. - Kyle W. McClintick; Jacob Harer; Bryse Flowers; William C. Headley; Alexander M. Wyglinski (IEEE Open J. Commun. Soc., 2022)

Decoupling RNN Training and Testing Observation Intervals for Spectrum Sensing Applications. - Megan O. Moore; R. Michael Buehrer; William Chris Headley (Sensors, 2022)

RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications. - Daniel Rosen; Illa Rochez; Caleb McIrvin; Joshua Lee; Kevin D'Alessandro; Max Wiecek; Nhan Hoang; Ramzy Saffarini; Sam Philips; Vanessa Jones; Will Ivey; Zavier Harris-Smart; et al. (ICMLA, 2023)

Demoing the RFRL Gym: A Reinforcement Learning Testbed for Wireless Communications. - Alyse M. Jones; Amos Johnson; William C. Headley (MILCOM, 2023)

Time-Diverse Doppler-only LEO PNT. - Megan O. Moore; R. Michael Buehrer; William C. Headley (MILCOM, 2023)

Probability-Reduction of Geolocation using Reconfigurable Intelligent Surface Reflections. - Anders M. Buvarp; Daniel J. Jakubisin; William C. Headley; Jeffrey H. Reed (WCNC, 2023)

Approaches Minimizing Geometric Dilution of Precision in Doppler-based Positioning Using LEO Satellites. - Megan O. Moore; R. Michael Buehrer; William C. Headley (DySPAN, 2024)

Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture. - Samuel B. Brown; Stephen Young; Adam Wagenknecht; Daniel Jakubisin; Charles E. Thornton; Aaron Orndorff; William C. Headley (MILCOM, 2024)

Demoing Spectral Warrior: A Virtual Reality Gamification of Radio Frequency Concepts. - Elliott Rheault; Isaac Tucker; Jason Cox; Tyler Rodgers; William C. Headley (MILCOM, 2024)

CLOUD-D RF: Cloud-based Distributed Radio Frequency Heterogeneous Spectrum Sensing. - Dylan Green; Caleb McIrvin; River Thaboun; Cora Wemlinger; Joseph Risi; Alyse M. Jones; Maymoonah Toubeh; William C. Headley (MobiCom, 2024)

A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. - Sriniketh Vangaru; Daniel Rosen; Dylan Green; Raphael Rodriguez; Maxwell Wiecek; Amos Johnson; Alyse M. Jones; William C. Headley (CCNC, 2025)

Demonstration of the Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. - Sriniketh Vangaru; Daniel Rosen; Dylan Green; Raphael Rodriguez; Maxwell Wiecek; Amos Johnson; Alyse M. Jones; William C. Headley (CCNC, 2025)

Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters. - Charles E. Thornton; Jamie Sloop; Samuel B. Brown; Aaron Orndorff; William C. Headley; Stephen Young (CoRR, 2025)