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Found 49 papers, 5 papers with code
LEO- and RIS-Empowered User Tracking: A Riemannian Manifold Approach
To address inherent challenges including nonlinear observation function, constrained UE state, and unknown observation statistics, we develop a Riemannian manifold-based unscented Kalman filter (UKF) method.
ELAA Near-Field Localization and Sensing with Partial Blockage Detection
Considering the array size could be much larger than an obstacle, the effect of partial blockage (i. e., a portion of antennas are blocked) is investigated, and a blockage detection algorithm is proposed.
You can monitor your hydration level using your smartphone camera
For both classification problems, we feed the pre-processed and augmented PPG data to a number of machine learning, deep learning and transformer models which models provide a very high accuracy, i. e., in the range of 95% to 99%.
Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator
The consistent estimator, coupled with a one-dimensional grid search, is used to set the value of the regularization parameter required for the proposed NL-RLDA classifier.
Exploring the Synergy: A Review of Dual-Functional Radar Communication Systems
This review paper examines the concept and advancements in the evolving landscape of Dual-functional Radar Communication (DFRC) systems.
LEO Satellite and RIS: Two Keys to Seamless Indoor and Outdoor Localization
By leveraging the strong signal reception of the LEO satellite signals and capitalizing on the radio environment-reshaping capability of RISs, the integration of these two technologies presents a vision of a future where localization services transcend existing constraints.
Mutual Coupling in RIS-Aided Communication: Model Training and Experimental Validation
This paper investigates the mutual coupling in reconfigurable intelligent surface (RIS)-aided communication.
Exploiting Hybrid Terrestrial/LEO Satellite Systems for Rural Connectivity
Satellite networks are playing an important role in realizing global seamless connectivity in beyond 5G and 6G wireless networks.
Beamforming Design and Performance Evaluation for RIS-aided Localization using LEO Satellite Signals
The growing availability of low-Earth orbit (LEO) satellites, coupled with the anticipated widespread deployment of reconfigurable intelligent surfaces (RISs), opens up promising prospects for new localization paradigms.
On the Impact of Mutual Coupling on RIS-Assisted Channel Estimation
Amid the demand for densely integrated elements in techniques such as holographic reconfigurable intelligent surfaces (RISs), the mutual coupling effect has gained prominence.
Attitude Determination in Urban Canyons: A Synergy between GNSS and 5G Observations
The tight fusion of the GNSS and the 5G observations results in a unique hybrid integer- and orthonormality-constrained optimization problem.
Your smartphone could act as a pulse-oximeter and as a single-lead ECG
The proposed methods include the following core steps: subject records a small video of his/her fingertip by placing his/her finger on the rear camera of the smartphone, and the recorded video is pre-processed to extract the filtered and/or detrended video-photoplethysmography (vPPG) signal, which is then fed to custom-built convolutional neural networks (CNN), which eventually spit-out the vitals (PR, SpO2, and RR) as well as a single-lead ECG of the subject.
JrCUP: Joint RIS Calibration and User Positioning for 6G Wireless Systems
In the second stage, a two-dimensional search algorithm is proposed to estimate the three-dimensional user and RIS positions, one-dimensional RIS orientation, and clock bias from the estimated channel parameters.
5G-Aided RTK Positioning in GNSS-Deprived Environments
This paper considers the localization problem in a 5G-aided global navigation satellite system (GNSS) based on real-time kinematic (RTK) technique.
Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform & a 1D-CNN
Under our proposed method, we first do pre-processing on both datasets in order to prepare the data for the NNs.
On the Downlink Coverage Performance of RIS-Assisted THz Networks
This letter provides a stochastic geometry (SG)-based coverage probability (CP) analysis of an indoor terahertz (THz) downlink assisted by a single reconfigurable intelligent surface (RIS) panel.
Characterization of the Global Bias Problem in Aerial Federated Learning
To this end, the paper proposes a channel-aware distribution and aggregation scheme to enforce equal contribution from all devices in the FL training as a means to resolve the global bias problem.
Misspecified Cramér-Rao Bound of RIS-aided Localization under Geometry Mismatch
In 5G/6G wireless systems, reconfigurable intelligent surfaces (RIS) can play a role as a passive anchor to enable and enhance localization in various scenarios.
Localization Coverage Analysis of THz Communication Systems with a 3D Array
This paper considers the problem of estimating the position and orientation of a user equipped with a three-dimensional (3D) array receiving downlink far-field THz signals from multiple base stations with known positions and orientations.
Towards Sustainable Internet of Underwater Things: UAV-aided Energy Efficient Wake-up Solutions
The IoUT network comprises battery-operated sensor nodes, and replacing or charging such batteries is challenging due to the harsh ocean environment.
Sharp Analysis of RLS-based Digital Precoder with Limited PAPR in Massive MIMO
We show that for this class of precoders, there is an optimal transmit per-antenna power that maximizes the system performance in terms of SINAD and bit error probability.
Antenna Selection in Switch-Based MIMO Arrays via DOA threshold region Approximation
We first perform a subarray layout alignment process to remove subarrays with identical beampatterns and create a unique subarray set.
Instantaneous GNSS Ambiguity Resolution and Attitude Determination via Riemannian Manifold Optimization
Given the characteristics of the employed nonlinear constraints, we formulate GNSS attitude determination as an optimization problem on a manifold.
Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach
In a high-dimensional setting, it is well known that the sample covariance matrix is not a proper estimator of the true covariance matrix since it is not invertible when we have fewer observations than the data dimension.
Constrained Wrapped Least Squares: A Tool for High Accuracy GNSS Attitude Determination
Attitude determination is a popular application of Global Navigation Satellite Systems (GNSS).
Terahertz-Band Non-Orthogonal Multiple Access: System- and Link-Level Considerations
Non-orthogonal multiple access (NOMA) communications promise high spectral efficiency and massive connectivity, serving multiple users over the same time-frequency-code resources.
A Tutorial on Terahertz-Band Localization for 6G Communication Systems
Terahertz (THz) communications are celebrated as key enablers for converged localization and sensing in future sixth-generation (6G) wireless communication systems and beyond.
Mean-square Analysis of the NLMS Algorithm
This work presents a novel approach to the mean-square analysis of the normalized least mean squares (NLMS) algorithm for circular complex colored Gaussian inputs.
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview
Following the recent progress in Terahertz (THz) signal generation and radiation methods, joint THz communications and sensing applications are shaping the future of wireless systems.
Manifold Optimization for High Accuracy Spatial Location Estimation Using Ultrasound Waves
This paper reports the design of a high-accuracy spatial location estimation method using ultrasound waves by exploiting the fixed geometry of the transmitters.
Range Estimation of a Moving Target Using Ultrasound Differential Zadoff-Chu Codes
For the same movement range, the system provides range estimates with a root mean square error (RMSE) less than 0. 76 mm in a high SNR scenario (10 dB), and an MSE less than 0. 85 mm in a low SNR scenario (-10 dB).
DOA Estimation with Non-Uniform Linear Arrays: A Phase-Difference Projection Approach
The concept of \emph{wrapped phased-difference pattern} (WPDP) is introduced, which allows the proposed algorithm to compute most of the parameters required for DOA estimation in an offline manner, hence resulting in a superior computational speed in realtime.
Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges
This paper overviews point-to-point (P2P) links for integrated satellite-aerial networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of wireless networks vision.
A Derivation of Identifiable Condition for Non-Uniform Linear Array DOA Estimation
Phase ambiguity happens in uniform linear arrays (ULAs) when the sensor distance is greater than $\lambda/2$.
Deep Learning in Industrial Internet of Things: Potentials, Challenges, and Emerging Applications
Notably, the DL algorithms, when applied in the Industrial Internet of Things (IIoT), can enable various applications such as smart assembling, smart manufacturing, efficient networking, and accident detection-and-prevention.
Viral Aerosol Concentration Characterization and Detection in Bounded Environments
The paper models the exhaled breath as a cloud which is emitted through the room continuously, and analyzes the temporal-spatial virus concentration by accounting for partial absorption and reflection at each side of the room.
Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques
This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks.
Climate Monitoring using Internet of X-Things
Global climate change is significantly affecting the life on planet Earth.
An Overview of Signal Processing Techniques for Terahertz Communications
Such progress establishes a foundation for well-grounded research into THz-specific signal processing techniques for wireless communications.
A Doubly Regularized Linear Discriminant Analysis Classifier with Automatic Parameter Selection
These methods are used to tune the regularization parameters based on linear estimation models, with the sample covariance matrix's square root being the linear operator.
Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants
Datasets from the fields of bioinformatics, chemometrics, and face recognition are typically characterized by small samples of high-dimensional data.
Next Generation Terahertz Communications: A Rendezvous of Sensing, Imaging, and Localization
Terahertz (THz)-band communications are celebrated as a key enabling technology for next-generation wireless systems that promises to integrate a wide range of data-demanding and delay-sensitive applications.
Ultra-Massive MIMO Systems at Terahertz Bands: Prospects and Challenges
Terahertz (THz)-band communications are currently being celebrated as a key technology that could fulfill the increasing demands for wireless data traffic in the upcoming sixth-generation (6G) of wireless communications.
Precise Performance Analysis of the Box-Elastic Net under Matrix Uncertainties
In this letter, we consider the problem of recovering an unknown sparse signal from noisy linear measurements, using an enhanced version of the popular Elastic-Net (EN) method.
Precise Performance Analysis of the LASSO under Matrix Uncertainties
In this paper, we consider the problem of recovering an unknown sparse signal $\xv_0 \in \mathbb{R}^n$ from noisy linear measurements $\yv = \Hm \xv_0+ \zv \in \mathbb{R}^m$.
Information Theory Information Theory
A Large Dimensional Study of Regularized Discriminant Analysis Classifiers
This article carries out a large dimensional analysis of standard regularized discriminant analysis classifiers designed on the assumption that data arise from a Gaussian mixture model with different means and covariances.
Hand Gesture Recognition Using Ultrasonic Waves
This paper presents a new method for detecting and classifying a predefined set of hand gestures using a single transmitter and a single receiver utilizing a linearly frequency modulated ultrasonic signal.
Image Denoising Via Collaborative Support-Agnostic Recovery
For sparse reconstruction, the likelihood of a tap being active in a patch is computed and refined through a collaboration process with other similar patches in the same group.
Blind Source Separation Algorithms Using Hyperbolic and Givens Rotations for High-Order QAM Constellations
Four new iterative batch BSS algorithms are presented dealing with the multimodulus (MM) and alphabet matched (AM) criteria.
