Modified MM Algorithm and Bayesian Expectation Maximization-Based Robust Localization Under NLOS Contaminated Environments

Modified MM Algorithm and Bayesian Expectation Maximization-Based Robust Localization Under NLOS Contaminated Environments

Robust localization methods that employ distance measurements to predict the position of an emitter are proposed in this paper. The occurrence of outliers due to the non-line-of sight (NLOS) propagation of signals can drastically degrade the localization performance in crowded urban areas and indoor...

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Bibliographic Details
Main Authors: Chee-Hyun Park, Joon-Hyuk Chang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Expectation maximization
localization
maximum a posteriori
multi-stage maximum likelihood-type (MM) estimator
robust
variational Bayes
Online Access:https://ieeexplore.ieee.org/document/9311118/

Internet

https://ieeexplore.ieee.org/document/9311118/

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