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Found 11 papers, 1 papers with code
A Deep Learning Approach for Generating Soft Range Information from RF Data
Radio frequency (RF)-based techniques are widely adopted for indoor localization despite the challenges in extracting sufficient information from measurements.
Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation
Ultra-wideband (UWB)-based techniques, while becoming mainstream approaches for high-accurate positioning, tend to be challenged by ranging bias in harsh environments.
Deep Generative Model for Simultaneous Range Error Mitigation and Environment Identification
In particular, we present a Bayesian model for the generative process of the received waveform composed by latent variables for both range-related features and environment semantics.
A Semi-Supervised Learning Approach for Ranging Error Mitigation Based on UWB Waveform
Localization systems based on ultra-wide band (UWB) measurements can have unsatisfactory performance in harsh environments due to the presence of non-line-of-sight (NLOS) errors.
Generalized Expectation Maximization Framework for Blind Image Super Resolution
Learning-based methods for blind single image super resolution (SISR) conduct the restoration by a learned mapping between high-resolution (HR) images and their low-resolution (LR) counterparts degraded with arbitrary blur kernels.
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Deep generative models (DGMs) and their conditional counterparts provide a powerful ability for general-purpose generative modeling of data distributions.
An Improved Ray Tracing Acceleration Algorithm Based on Bounding Volume Hierarchies
Ray tracing is an efficient channel modeling method.
An SBR Based Ray Tracing Channel Modeling Method for THz and Massive MIMO Communications
Terahertz (THz) communication and the application of massive multiple-input multiple-output (MIMO) technology have been proved significant for the sixth generation (6G) communication systems, and have gained global interests.
An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling
With the proposed iterative precise algorithm, error of angle of departure (AOD) and angle of arrival (AOA) is below 0. 01 degree.
A 3D Non-Stationary Geometry-Based Stochastic Model for Industrial Automation Wireless Communication Systems
Industrial automation is one of the key application scenarios of the fifth (5G) wireless communication network.
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Kriging provides the best linear unbiased predictor using covariance functions and is often associated with Gaussian processes.
