A Consensus-Based Diffusion Levenberg-Marquardt Method for Collaborative Localization With Extension to Distributed Optimization

A Consensus-Based Diffusion Levenberg-Marquardt Method for Collaborative Localization With Extension to Distributed Optimization

Non-linear least squares problems arise from data fitting have received recently a lot of attention, particularly for the estimates of the model parameters over networked systems. Although the diffusion Gauss-Newton method offers many advantages for solving the non-linear least squares problem in wi...

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Bibliographic Details
Main Authors: Mou Wu, Liangji Zhong, Bin Xu, Naixue Xiong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Gauss-Newton method
collaborative localization
Levenberg-Marquardt
wireless sensor networks
nonlinear least squares
Online Access:https://ieeexplore.ieee.org/document/9274340/

Internet

https://ieeexplore.ieee.org/document/9274340/

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