141 citations · 290 across the 58 of their papers we have counts for
25 papers · 1 filter
LEO-based Positioning: Foundations, Signal Design, and Receiver Enhancements for 6G NTN
Harish K. Dureppagari, Chiranjib Saha, Harikumar Krishnamurthy +4
The integration of non-terrestrial networks (NTN) into 5G new radio (NR) has opened up the possibility of developing a new positioning infrastructure using NR signals from Low-Eart…
Foundations of Vision-Based Localization: A New Approach to Localizability Analysis Using Stochastic Geometry
Haozhou Hu, Harpreet S. Dhillon, R. Michael Buehrer
Despite significant algorithmic advances in vision-based positioning, a comprehensive probabilistic framework to study its performance has remained unexplored. The main objective o…
On the Limits of Single Anchor Localization: Near-Field vs Far-Field
Don-Roberts Emenonye, Harpreet S. Dhillon, R. Michael Buehrer
It is well known that a single anchor can be used to determine the position and orientation of an agent communicating with it. However, it is not clear what information about the a…
NTN-based 6G Localization: Vision, Role of LEOs, and Open Problems
Harish K. Dureppagari, Chiranjib Saha, Harpreet S. Dhillon +1
Since the introduction of 5G Release 18, non-terrestrial networks (NTNs) based positioning has garnered significant interest due to its numerous applications, including emergency s…
When is Cognitive Radar Beneficial?
Charles E. Thornton, R. Michael Buehrer
When should an online reinforcement learning-based frequency agile cognitive radar be expected to outperform a rule-based adaptive waveform selection strategy? We seek insight rega…
RIS-Aided Localization under Position and Orientation Offsets in the Near and Far Field
Don-Roberts Emenonye, Harpreet S. Dhillon, R. Michael Buehrer
This paper presents a rigorous Bayesian analysis of the information in the signal (consisting of both the line-of-sight (LOS) path and reflections from multiple reconfigurable inte…
Online Bayesian Meta-Learning for Cognitive Tracking Radar
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
A key component of cognitive radar is the ability to generalize, or achieve consistent performance across a range of sensing environments, since aspects of the physical scene may v…
Universal Learning Waveform Selection Strategies for Adaptive Target Tracking
Charles E. Thornton, R. Michael Buehrer, Harpreet S. Dhillon +1
Online selection of optimal waveforms for target tracking with active sensors has long been a problem of interest. Many conventional solutions utilize an estimation-theoretic inter…
Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
A fundamental problem for waveform-agile radar systems is that the true environment is unknown, and transmission policies which perform well for a particular tracking instance may…
Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
In tracking radar, the sensing environment often varies significantly over a track duration due to the target's trajectory and dynamic interference. Adapting the radar's waveform u…
Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
A sequential decision process in which an adaptive radar system repeatedly interacts with a finite-state target channel is studied. The radar is capable of passively sensing the sp…
Multi-player Bandits for Distributed Cognitive Radar
William W. Howard, Charles E. Thornton, Anthony F. Martone +1
With new applications for radar networks such as automotive control or indoor localization, the need for spectrum sharing and general interoperability is expected to rise. This pap…
Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias
Christopher E. O'Lone, Harpreet S. Dhillon, R. Michael Buehrer
This paper presents a stochastic geometry-based analysis of propagation statistics for 5G millimeter wave (mm-wave) cellular. In particular, the time-of-arrival (TOA) and angle-of-…
Constrained Online Learning to Mitigate Distortion Effects in Pulse-Agile Cognitive Radar
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
Pulse-agile radar systems have demonstrated favorable performance in dynamic electromagnetic scenarios. However, the use of non-identical waveforms within a radar's coherent proces…
Efficient Online Learning for Cognitive Radar-Cellular Coexistence via Contextual Thompson Sampling
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone
This paper describes a sequential, or online, learning scheme for adaptive radar transmissions that facilitate spectrum sharing with a non-cooperative cellular network. First, the…
A Mathematical Justification for Exponentially Distributed NLOS Bias
Christopher E. O'Lone, Harpreet S. Dhillon, R. Michael Buehrer
In the past few decades, the localization literature has seen many models attempting to characterize the non-line-of-sight (NLOS) bias error commonly experienced in range measureme…
On Jamming Against Wireless Networks
SaiDhiraj Amuru, Harpreet S. Dhillon, R. Michael Buehrer
In this paper, we study jamming attacks against wireless networks. Specifically, we consider a network of base stations (BS) or access points (AP) and investigate the impact of a f…
A Tractable Analysis of the Improvement in Unique Localizability Through Collaboration
Javier Schloemann, Harpreet S. Dhillon, R. Michael Buehrer
In this paper, we mathematically characterize the improvement in device localizability achieved by allowing collaboration among devices. Depending on the detection sensitivity of t…
A Tractable Metric for Evaluating Base Station Geometries in Cellular Network Localization
Javier Schloemann, Harpreet S. Dhillon, R. Michael Buehrer
In this letter, we present a new metric for characterizing the geometric conditions encountered in cellular positioning based on the angular spread of the base stations (BSs). The…
Approximate Joint MAP Detection of Co-Channel Signals
Daniel J. Jakubisin, R. Michael Buehrer
We consider joint detection of co-channel signals---specifically, signals which do not possess a natural separability due to, for example, the multiple access technique or the use…
Towards a Tractable Analysis of Localization Fundamentals in Cellular Networks
Javier Schloemann, Harpreet S. Dhillon, R. Michael Buehrer
When dedicated positioning systems, such as GPS, are unavailable, a mobile device has no choice but to fall back on its cellular network for localization. Due to random variations…
Jamming Bandits
SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar +1
Can an intelligent jammer learn and adapt to unknown environments in an electronic warfare-type scenario? In this paper, we answer this question in the positive, by developing a co…
Towards Optimal Secure Distributed Storage Systems with Exact Repair
Ravi Tandon, SaiDhiraj Amuru, T. Charles Clancy +1
Distributed storage systems in the presence of a wiretapper are considered. A distributed storage system (DSS) is parameterized by three parameters (n, k,d), in which a file stored…
Retroactive Anti-Jamming for MISO Broadcast Channels
SaiDhiraj Amuru, Ravi Tandon, R. Michael Buehrer +1
Jamming attacks can significantly impact the performance of wireless communication systems. In addition to reducing the capacity, such attacks may lead to insurmountable overhead i…