Joint Identification and Channel Estimation for Fault Detection in Industrial IoT With Correlated Sensors

Joint Identification and Channel Estimation for Fault Detection in Industrial IoT With Correlated Sensors

As industrial plants increase the number of wirelessly connected sensors for fault detection, a key problem is to identify and obtain data from the sensors. Due to the large number of sensors, random access protocols exploiting non-orthogonal multiple access (NOMA) are a natural approach. In this pa...

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Bibliographic Details
Main Authors: Lelio Chetot, Malcolm Egan, Jean-Marie Gorce
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Maximum likelihood detection
channel estimation
fault detection
correlation
Internet of Things
belief propagation
Online Access:https://ieeexplore.ieee.org/document/9520427/

Internet

https://ieeexplore.ieee.org/document/9520427/

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