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Found 14 papers, 2 papers with code
The Adaptive $τ$-Lasso: Robustness and Oracle Properties
We carry out extensive simulations and observe that the class of $\tau$-Lasso estimators exhibits robustness and reliable performance in both contaminated and uncontaminated data settings.
On the Fusion Strategies for Federated Decision Making
We consider the problem of information aggregation in federated decision making, where a group of agents collaborate to infer the underlying state of nature without sharing their private data with the central processor or each other.
On the Impact of Phase Noise on Monostatic Sensing in OFDM ISAC Systems
Phase noise (PN) can become a major bottleneck for integrated sensing and communications (ISAC) systems towards 6G wireless networks.
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data
The proposed two-stage robust and distributed inference procedures demonstrate reliable performance and robustness in variable selection, finding confidence intervals and bootstrap approximations of standard deviations even when data is high-dimensional and contaminated by outliers.
Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing
Radar and modern communication systems are both evaluating towards higher frequency bands and massive antenna arrays, thus increasing their similarities in terms of hardware structure, channel characteristics, and signal processing pipelines.
Monostatic Sensing with OFDM under Phase Noise: From Mitigation to Exploitation
We consider the problem of monostatic radar sensing with orthogonal frequency-division multiplexing (OFDM) joint radar-communications (JRC) systems in the presence of phase noise (PN) caused by oscillator imperfections.
Multiple Hypothesis Testing Framework for Spatial Signals
The benefits of our method are illustrated by applications to spatially propagating radio waves.
Reinforcement Learning for Physical Layer Communications
In this chapter, we will give comprehensive examples of applying RL in optimizing the physical layer of wireless communications by defining different class of problems and the possible solutions to handle them.
MIMO-OFDM Joint Radar-Communications: Is ICI Friend or Foe?
For each estimated angle, we next formulate the radar delay-Doppler estimation as a joint carrier frequency offset (CFO) and channel estimation problem via an APES (amplitude and phase estimation) spatial filtering approach by transforming the delay-Doppler parameterized radar channel into an unstructured form.
ICI-Aware Parameter Estimation for MIMO-OFDM Radar via APES Spatial Filtering
We propose a novel three-stage delay-Doppler-angle estimation algorithm for a MIMO-OFDM radar in the presence of inter-carrier interference (ICI).
Sparse Symmetric Linear Arrays with Low Redundancy and a Contiguous Sum Co-Array
The two array structures also achieve low redundancy, and a contiguous sum and difference co-array, which allows resolving vastly more scatterers or sources than sensors
Hybrid Beamforming for Active Sensing using Sparse Arrays
Simulations demonstrate that a hybrid sparse array with very few elements, and even fewer front ends, can achieve the resolution of a fully digital uniform array at the expense of a longer image acquisition time.
A Bayesian algorithm for distributed network localization using distance and direction data
In this paper, the novel Message Passing Hybrid Localization (MPHL) algorithm is proposed to solve the problem of cooperative distributed localization using distance and direction estimates.
Robust, scalable and fast bootstrap method for analyzing large scale data
In this paper we address the problem of performing statistical inference for large scale data sets i. e., Big Data.
