141 citations · 290 across the 58 of their papers we have counts for
28 papers · 1 filter
Optimal Anchor Placement for Wireless Localization in Mixed LOS and NLOS Scenarios
Gaurav Duggal, R. Michael Buehrer, Harpreet S. Dhillon +1
This paper develops a general optimal experimental design framework for anchor placement in localization and related estimation problems whose Fisher information matrix (FIM) can b…
Björck Sequences: Extension to Arbitrary Lengths, Correlation Analysis, and Applications to Wireless Systems
Harish K. Dureppagari, Chiranjib Saha, R. Michael Buehrer +1
In this paper, we propose a sequence construction framework that extends prime-length Björck sequences, a class of Constant Amplitude Zero Autocorrelation (CAZAC) sequences, to arb…
Joint 9D Receiver Localization and Ephemeris Correction with LEO and G Base Stations
Don-Roberts Emenonye, Wasif J. Hussain, Harpreet S. Dhillon +1
This paper leverages Fisher information to examine the interaction between low-Earth orbit (LEO) satellites and 5G base stations (BSs) in enabling 9D receiver localization and refi…
3D Positioning using a New Diffraction Path Model
Gaurav Duggal, R. Michael Buehrer, Harpreet S. Dhillon +1
Enhancing 3D and Z-axis positioning accuracy is crucial for effective rescue in indoor emergencies, ensuring safety for emergency responders and at-risk individuals. Additionally,…
Mode Selection in Cognitive Radar Networks
William W. Howard, Samuel R. Shebert, Anthony F. Martone +1
Cognitive Radar Networks, which were popularized by Simon Haykin in 2006, have been proposed to address limitations with legacy radar installations. These limitations include large…
Mode Selection and Target Classification in Cognitive Radar Networks
William W. Howard, Samuel R. Shebert, Benjamin H. Kirk +1
Cognitive Radar Networks were proposed by Simon Haykin in 2006 to address problems with large legacy radar implementations - primarily, single-point vulnerabilities and lack of ada…
Open and Closed-Loop Weight Selection for Pattern Control of Paraboloidal Reflector Antennas with Reconfigurable Rim Scattering
R. Michael Buehrer, William W. Howard, Steven Ellingson
It has been demonstrated that modifying the rim scattering of a paraboloidal reflector antenna through the use of reconfigurable elements along the rim facilitates sidelobe modific…
RIS-Aided Kinematic Analysis for Remote Rehabilitation
Don-Roberts Emenonye, Anik Sarker, Alan T. Asbeck +2
This paper is the first to introduce the idea of using reconfigurable intelligent surfaces (RISs) as passive devices that measure the position and orientation of certain human body…
On the Value of Online Learning for Radar Waveform Selection
Charles E. Thornton, R. Michael Buehrer
This paper attempts to characterize the kinds of physical scenarios in which an online learning-based cognitive radar is expected to reliably outperform a fixed rule-based waveform…
Line-of-Sight Probability for Outdoor-to-Indoor UAV-Assisted Emergency Networks
Gaurav Duggal, R. Michael Buehrer, Nishith Tripathi +1
For emergency response scenarios like firefighting in urban environments, there is a need to both localize emergency responders inside the building and also support a high bandwidt…
Open Set Wireless Signal Classification: Augmenting Deep Learning with Expert Feature Classifiers
Samuel R. Shebert, Benjamin H. Kirk, R. Michael Buehrer
In shared spectrum with multiple radio access technologies, wireless standard classification is vital for applications such as dynamic spectrum access (DSA) and wideband spectrum m…
Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar
Charles E. Thornton, William W. Howard, R. Michael Buehrer
This paper describes important considerations and challenges associated with online reinforcement-learning based waveform selection for target identification in frequency modulated…
Model Order Estimation in the Presence of multipath Interference using Residual Convolutional Neural Networks
Jianyuan Yu, William W. Howard, Yue Xu +1
Model order estimation (MOE) is often a pre-requisite for Direction of Arrival (DoA) estimation. Due to limits imposed by array geometry, it is typically not possible to estimate s…
Decentralized Bandits with Feedback for Cognitive Radar Networks
William Howard, R. Michael Buehrer
Completely decentralized Multi-Player Bandit models have demonstrated high localization accuracy at the cost of long convergence times in cognitive radar networks. Rather than mode…
Fundamentals of RIS-Aided Localization in the Far-Field
Don-Roberts Emenonye, Harpreet S. Dhillon, R. Michael Buehrer
This paper develops fundamental bounds for localization in orthogonal frequency division multiplexing (OFDM) systems aided by reconfigurable intelligent surfaces (RISs). Specifical…
Distributed Online Learning for Coexistence in Cognitive Radar Networks
William Howard, Anthony Martone, R. Michael Buehrer
This work addresses the coexistence problem for radar networks. Specifically, we model a network of cooperative, independent, and non-communicating radar nodes which must share res…
Weight Selection for Pattern Control of Paraboloidal Reflector Antennas with Reconfigurable Rim Scattering
R. Michael Buehrer, Steve W. Ellingson
It has been recently demonstrated that modifying the rim scattering of a paraboloidal reflector antenna through the use of reconfigurable elements along the rim facilitates sidelob…
Differential Modulation in Massive MIMO With Low-Resolution ADCs
Don-Roberts Emenonye, Carl Dietrich, R. Michael Buehrer
In this paper, we present a differential modulation and detection scheme for use in the uplink of a system with a large number of antennas at the base station, each equipped with l…
Differential Deep Detection in Massive MIMO With One-Bit ADC
Don-Roberts Emenonye, Carl Dietrich, R. Michael Buehrer
This article presents a differential detection scheme for the uplink of a massive MIMO system that employs one-bit quantizers on each receive antenna. We focus on the detection of…
Adversarial Multi-Player Bandits for Cognitive Radar Networks
William W. Howard, R. M. Buehrer, Anthony Martone
We model a radar network as an adversarial bandit problem, where the environment pre-selects reward sequences for each of several actions available to the network. This excludes en…
Classification of Common Waveforms Including a Watchdog for Unknown Signals
C. Tanner Fredieu, Justin Bui, Anthony Martone +3
In this paper, we examine the use of a deep multi-layer perceptron model architecture to classify received signal samples as coming from one of four common waveforms, Single Carrie…
Open Set Wireless Standard Classification Using Convolutional Neural Networks
Samuel R. Shebert, Anthony F. Martone, R. Michael Buehrer
In congested electromagnetic environments, cognitive radios require knowledge about other emitters in order to optimize their dynamic spectrum access strategy. Deep learning classi…
Multi-Target Localization Using Polarization Sensitive Arrays
William W. Howard, R. Michael Buehrer
In this work we develop clustering techniques for the Bearing Only Target Localization (BOTL) problem. Our scenario has a receiver move along some path, generating bearing estimate…
The RFML Ecosystem: A Look at the Unique Challenges of Applying Deep Learning to Radio Frequency Applications
Lauren J. Wong, William H. Clark, Bryse Flowers +3
While deep machine learning technologies are now pervasive in state-of-the-art image recognition and natural language processing applications, only in recent years have these techn…