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06/30/2023
On the Limits of Single Anchor Localization: Near-Field vs Far-Field
It is well known that a single anchor can be used to determine the posit...
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05/20/2023
NTN-based 6G Localization: Vision, Role of LEOs, and Open Problems
Since the introduction of 5G Release 18, non-terrestrial networks (NTNs)...
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04/21/2023
On the Value of Online Learning for Radar Waveform Selection
This paper attempts to characterize the kinds of physical scenarios in w...
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02/27/2023
Line-of-Sight Probability for Outdoor-to-Indoor UAV-Assisted Emergency Networks
For emergency response scenarios like firefighting in urban environments...
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12/01/2022
Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar
This paper describes important considerations and challenges associated ...
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12/01/2022
When is Cognitive Radar Beneficial?
When should an online reinforcement learning-based frequency agile cogni...
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10/07/2022
RIS-Aided Localization under Position and Orientation Offsets in the Near and Far Field
This paper presents a rigorous Bayesian analysis of the information in t...
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07/07/2022
Online Bayesian Meta-Learning for Cognitive Tracking Radar
A key component of cognitive radar is the ability to generalize, or achi...
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07/05/2022
Linear Jamming Bandits: Sample-Efficient Learning for Non-Coherent Digital Jamming
It has been shown (Amuru et al. 2015) that online learning algorithms ca...
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02/10/2022
Universal Learning Waveform Selection Strategies for Adaptive Target Tracking
Online selection of optimal waveforms for target tracking with active se...
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12/28/2021
Multi-Band Wi-Fi Sensing with Matched Feature Granularity
Complementary to the fine-grained channel state information (CSI) from t...
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10/21/2021
Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking
A fundamental problem for waveform-agile radar systems is that the true ...
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10/01/2021
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
In this paper, we examine the use of a deep multi-layer perceptron archi...
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08/02/2021
Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning
In tracking radar, the sensing environment often varies significantly ov...
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03/09/2021
Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection
A sequential decision process in which an adaptive radar system repeated...
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01/30/2021
Multi-player Bandits for Distributed Cognitive Radar
With new applications for radar networks such as automotive control or i...
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10/29/2020
Constrained Online Learning to Mitigate Distortion Effects in Pulse-Agile Cognitive Radar
Pulse-agile radar systems have demonstrated favorable performance in dyn...
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10/19/2020
Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias
This paper presents a stochastic geometry-based analysis of propagation ...
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08/24/2020
Efficient Online Learning for Cognitive Radar-Cellular Coexistence via Contextual Thompson Sampling
This paper describes a sequential, or online, learning scheme for adapti...
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06/23/2020
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments
In this paper, dynamic non-cooperative coexistence between a cognitive p...
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04/12/2020
Direction of Arrival Estimation for a Vector Sensor Using Deep Neural Networks
A vector sensor, a type of sensor array with six collocated antennas to ...
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02/04/2020
Centimeter-Level Indoor Localization using Channel State Information with Recurrent Neural Networks
Modern techniques in the Internet of Things or autonomous driving requir...
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02/03/2020
Interference Classification Using Deep Neural Networks
The recent success in implementing supervised learning to classify modul...
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01/06/2020
Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar
In this work, we first describe a framework for the application of Reinf...
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05/02/2019
A Mathematical Justification for Exponentially Distributed NLOS Bias
In the past few decades, the localization literature has seen many model...
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03/01/2019
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
Recent advancements in radio frequency machine learning (RFML) have demo...
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04/22/2018
Characterizing the Impact of SNR Heterogeneity on Time-of-Arrival based Localization Outage Probability
In localization, an outage occurs if the positioning error exceeds a pre...
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04/17/2016
