William C. Headley

58 papers A* 1B 5C 5Misc 2Journal 18Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. CCNC Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Maxwell Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley
2025	—	`conf`	Demonstration of the Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. CCNC Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Maxwell Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley
2025	—	`conf`	FS-PEARL: Few-Shot Model Adaptation for Over-The-Air Spectrum Sensing. MILCOM Caleb McIrvin, William C. Headley
2025	—	`conf`	Spectral Warrior: Gamification of Radar and Phased Array Concepts for Military Applications. MILCOM Elliott Rheault, Hannah Blake, Espen Lunden, Isaac Tucker, Bradley Davis, William C. Headley
2025	J	`jnl`	Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters. CoRR Charles E. Thornton, Jamie Sloop, Samuel B. Brown, Aaron Orndorff, William C. Headley, Stephen Young
2024	—	`conf`	A Framing of Eavesdropper Policy Manipulation Attacks on RL-enabled Wireless Systems. GLOBECOM (Workshops) Alyse M. Jones, Harpreet S. Dhillon, William C. Headley
2024	J	`jnl`	A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. CoRR Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Max Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley
2024	—	`conf`	Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture. MILCOM Samuel B. Brown, Stephen Young, Adam Wagenknecht, Daniel J. Jakubisin, Charles E. Thornton, Aaron Orndorff, William C. Headley
2024	J	`jnl`	Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture. CoRR Samuel B. Brown, Stephen Young, Adam Wagenknecht, Daniel J. Jakubisin, Charles E. Thornton, Aaron Orndorff, William C. Headley
2024	—	`conf`	Approaches Minimizing Geometric Dilution of Precision in Doppler-based Positioning Using LEO Satellites. DySPAN Megan O. Moore, R. Michael Buehrer, William C. Headley
2024	A*	`conf`	CLOUD-D RF: Cloud-based Distributed Radio Frequency Heterogeneous Spectrum Sensing. MobiCom Dylan Green, Caleb McIrvin, River Thaboun, Cora Wemlinger, Joseph Risi, Alyse M. Jones, Maymoonah Toubeh, William C. Headley
2024	—	`conf`	Demoing Spectral Warrior: A Virtual Reality Gamification of Radio Frequency Concepts. MILCOM Elliott Rheault, Isaac Tucker, Jason Cox, Tyler Rodgers, William C. Headley
2024	J	`jnl`	RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications. CoRR 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, Zavion Harris-Smart, Zayden Chin, Amos Johnson, Alyse M. Jones, William C. Headley
2023	—	`conf`	Demoing the RFRL Gym: A Reinforcement Learning Testbed for Wireless Communications. MILCOM Alyse M. Jones, Amos Johnson, William C. Headley
2023	B	`conf`	Probability-Reduction of Geolocation using Reconfigurable Intelligent Surface Reflections. WCNC Anders M. Buvarp, Daniel J. Jakubisin, William C. Headley, Jeffrey H. Reed
2023	C	`conf`	RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications. ICMLA 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, Zavion Harris-Smart, Zayden Chin, Amos Johnson, Alyse M. Jones, William C. Headley
2023	—	`conf`	Time-Diverse Doppler-only LEO PNT. MILCOM Megan O. Moore, R. Michael Buehrer, William C. Headley
2022	Misc	`conf`	A Comparative Overview of Automotive Radar Spoofing Countermeasures. CSR Minh A. Vu, William C. Headley, Kevin P. Heaslip
2022	—	`conf`	Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features. MILCOM J. B. Persons, Lauren J. Wong, Megan O. Moore, William C. Headley, Michael Fowler
2022	—	`conf`	Considerations of Reinforcement Learning within Real-Time Wireless Communication Systems. MILCOM Alyse M. Jones, William C. Headley
2022	J	`jnl`	Countering Physical Eavesdropper Evasion with Adversarial Training. IEEE Open J. Commun. Soc. Kyle W. McClintick, Jacob Harer, Bryse Flowers, William C. Headley, Alexander M. Wyglinski
2021	J	`jnl`	An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. IEEE Open J. Commun. Soc. Lauren J. Wong, William H. Clark, Bryse Flowers, R. Michael Buehrer, William C. Headley, Alan J. Michaels
2021	—	`conf`	Multi-Antenna Pre-processing for Improved RFML in Congested Spectral Environments. DySPAN 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, A. A. Louis Beex, Joseph D. Gaeddert
2021	J	`jnl`	Scaled-Time-Attention Robust Edge Network. CoRR Richard Lau, Lihan Yao, Todd Huster, William Johnson, Stephen Arleth, Justin Wong, Devin B. Ridge, Michael Fletcher, William C. Headley
2020	B	`conf`	Effects of Forward Error Correction on Communications Aware Evasion Attacks. PIMRC Matthew DelVecchio, Bryse Flowers, William C. Headley
2020	J	`jnl`	Effects of Forward Error Correction on Communications Aware Evasion Attacks. CoRR Matthew DelVecchio, Bryse Flowers, William C. Headley
2020	J	`jnl`	Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications. IEEE Trans. Inf. Forensics Secur. Bryse Flowers, R. Michael Buehrer, William C. Headley
2020	C	`conf`	FPGA Implementation of a Pseudo-Random Signal Generator for RF Hardware Test and Evaluation. IPCCC Randeep S. Baweja, Devin B. Ridge, Harpreet S. Dhillon, William C. Headley
2020	J	`jnl`	Investigating a Spectral Deception Loss Metric for Training Machine Learning-based Evasion Attacks. CoRR Matthew DelVecchio, Vanessa Arndorfer, William C. Headley
2020	—	`conf`	Investigating a spectral deception loss metric for training machine learning-based evasion attacks. WiseML@WiSec Matthew DelVecchio, Vanessa Arndorfer, William C. Headley
2020	C	`conf`	Resilience Improvements for Space-Based Radio Frequency Machine Learning. ISNCC Lauren J. Wong, Emily Altland, Joshua Detwiler, Paolo Fermin, Julia Mahon Kuzin, Nathan Moeliono, Abdelrahman Said Abdalla, William C. Headley, Alan J. Michaels
2020	J	`jnl`	Training Data Augmentation for Deep Learning RF Systems. CoRR William H. Clark IV, Steven Conrad Hauser, William C. Headley, Alan J. Michaels
2020	J	`jnl`	When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions. CoRR Yalin E. Sagduyu, Yi Shi, Tugba Erpek, William C. Headley, Bryse Flowers, George Stantchev, Zhuo Lu
2020	C	`conf`	When is Enough Enough? "Just Enough" Decision Making with Recurrent Neural Networks for Radio Frequency Machine Learning. IPCCC Megan O. Moore, William H. Clark, R. Michael Buehrer, William C. Headley
2019	—	`conf`	Communications Aware Adversarial Residual Networks for over the Air Evasion Attacks. MILCOM Bryse Flowers, R. Michael Buehrer, William C. Headley
2019	—	`conf`	Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. DySPAN Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, Michael Fowler, Gilbert Green
2019	J	`jnl`	Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. CoRR Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu, William C. Headley, Michael Fowler, Gilbert Green
2019	—	`conf`	Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study. MILCOM William H. Clark, Vanessa Arndorfer, Brook Tamir, Daniel Kim, Cristian Vives, Hunter Morris, Lauren J. Wong, William C. Headley
2019	—	`conf`	Distributed Automatic Modulation Classification with Compressed Data. MILCOM Lauren J. Wong, Parker D. White, Michael Fowler, William C. Headley
2019	J	`jnl`	Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications. CoRR Bryse Flowers, R. Michael Buehrer, William C. Headley
2019	—	`conf`	FHSS Signal Separation using Constrained Clustering. MILCOM Parker D. White, R. Michael Buehrer, William C. Headley
2019	—	`conf`	On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition. WiseML@WiSec Samuel Bair, Matthew DelVecchio, Bryse Flowers, Alan J. Michaels, William C. Headley
2019	J	`jnl`	Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators. IEEE Access Lauren J. Wong, William C. Headley, Alan J. Michaels
2018	—	`conf`	Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification. MILCOM Lauren J. Wong, William C. Headley, Seth Andrews, Ryan M. Gerdes, Alan J. Michaels
2018	—	`conf`	Deep Reinforcement Learning for Dynamic Spectrum Access in Wireless Networks. MILCOM Yue Xu, Jianyuan Yu, William C. Headley, R. Michael Buehrer
2018	—	`conf`	Estimation of transmitter I/Q imbalance using convolutional neural networks. CCWC Lauren J. Wong, William C. Headley, Alan J. Michaels
2017	—	`conf`	Robust blind spectral estimation in the presence of non-Gaussian noise. MILCOM Joel T. Kees, Joseph M. Ernst, William C. Headley, A. A. Louis Beex
2017	—	`conf`	Signal detection effects on deep neural networks utilizing raw IQ for modulation classification. MILCOM Steven Conrad Hauser, William C. Headley, Alan J. Michaels
2016	C	`conf`	Enhanced PHY-layer security via co-channel underlays. IPCCC Alan J. Michaels, William C. Headley, Joseph M. Ernst, Seth D. Hitefield
2014	J	`jnl`	Practical Issues for Spectrum Management With Cognitive Radios. Proc. IEEE 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
2013	—	`conf`	Automatic Modulation Classification under IQ Imbalance Using Supervised Learning. MILCOM Marc Lichtman, William C. Headley, Jeffrey H. Reed
2013	Misc	`conf`	Maximum-likelihood modulation classification with incomplete channel information. ITA William C. Headley, Venkata Gautham Chavali, Claudio R. C. M. da Silva
2011	J	`jnl`	Asynchronous Classification of Digital Amplitude-Phase Modulated Signals in Flat-Fading Channels. IEEE Trans. Commun. William C. Headley, Claudio R. C. M. da Silva
2011	J	`jnl`	Exploiting Radio Correlation and Reliability Information in Collaborative Spectrum Sensing. IEEE Commun. Lett. William C. Headley, Venkata Gautham Chavali, Claudio R. C. M. da Silva
2009	—	`conf`	Low-Antenna Ultra Wideband Spatial Correlation Analysis in a Forest Environment. VTC Spring Christopher Robert Anderson, Haris Ioannis Volos, William C. Headley, R. Michael Buehrer, Francisco C. B. F. Müller
2008	B	`conf`	Distributed Cyclic Spectrum Feature-Based Modulation Classification. WCNC William C. Headley, Jesse D. Reed, Claudio R. C. M. da Silva
2008	B	`conf`	Low Antenna Ultra Wideband Propagation Measurements and Modeling in a Forest Environment. WCNC Christopher Robert Anderson, Haris Ioannis Volos, William C. Headley, Francisco C. B. F. Müller, R. Michael Buehrer
2007	B	`conf`	Preliminary UWB Propagation Measurements in an Underground Limestone Mine. GLOBECOM Haris Ioannis Volos, Christopher Robert Anderson, William C. Headley, R. Michael Buehrer, Claudio R. C. M. da Silva, Antonio Nieto