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"Signal Detection in MIMO Systems with Hardware Imperfections: Message " by Dawei Gao, Qinghua Guo et al.

We investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments, such as power amplifier nonlinearity and in-phase/quadrature imbalance. To deal with the complex combined effects of hardware imperfections, neural network (NN) techniques, in particular deep neural networks (DNNs), have been studied to directly compensate for the impact of hardware impairments. However, it is difficult to train a DNN with limited pilot signals, hindering its practical application. In this work, we investigate how to achieve efficient Bayesian signal detection in MIMO systems with hardware imperfections. Characterizing combined hardware imperfections often leads to complicated signal models, making Bayesian signal detection challenging. To address this issue, we first train an NN to ‘model’ the MIMO system with hardware imperfections and then perform Bayesian inference based on the trained NN. Modelling the MIMO system with NN enables the design ....

Approximate Message Passing Amp , Rtificial Neural Networks , Bayes Methods , Bayesian Inference , Factor Graphs , Ardware Imperfections , Iq Imbalance , Message Passing , Imo Communication , Ultiple Input Multiple Output Mimo , Eural Networks Nns , Ower Amplifier Nonlinearity , Signal Detection ,

High-Precision Positioning with Smartphone Measurements - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

Learning GNSS positioning corrections for smartphones using Graph Convolution Neural Networks. ADYASHA MOHANTY AND GRACE GAO, STANFORD UNIVERSITY High-precision positioning with smartphones could bring in-demand technologies to users around the world. It would enable applications such as lane ....

Mountain View , United States , Stanford University , Long Beach , San Diego , Google Colab , Zach Witzel , Daniel Neamati , Stanford Navlab , Los Angeles , Adam Dai , Nikhil Raghuraman , Graph Convolutional Neural Network , Graph Isomorphism Network , Graph Convolution Neural Networks , Graph Convolution Neural , Google Smartphone Decimeter Challenge , Factor Graphs , Filter Initialization , Key Parameters , Pytorch Geometric ,

Q: What is a factor graph?

Q: What is a factor graph? A factor graph represents a global function of many variables as a product of local functions with smaller subsets of variabl ....

San Diego , United States , Jason Gross , Shounak Das , Google Smartphone , Ryan Watson , International Conference On Intelligent Robots , Virginia University , Navigation Community , International Technical Meeting Of The Satellite Division , Transactions On Wireless Communications , International Conference On Emerging Technologies , Institute Of Navigation , Indian Institute Of Technology , International Conference On Robotics , Bayesian Networks , International Technical Meeting , Georgia Institute Of Technology , Transactions On Aerospace , Journal Of The Institute Navigation , International Journal Of Robotics Research , Master Of Technologym Tech , Aerospace Engineering At West Virginia University , Markov Random Fields , Kalman Filter , Are The Advantages ,