Distributed localization using Levenberg-Marquardt algorithm

Distributed localization using Levenberg-Marquardt algorithm

Abstract In this paper, we propose a distributed algorithm for sensor network localization based on a maximum likelihood formulation. It relies on the Levenberg-Marquardt algorithm where the computations are distributed among different computational agents using message passing, or equivalently dyna...

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Bibliographic Details
Main Authors: Shervin Parvini Ahmadi, Anders Hansson, Sina Khoshfetrat Pakazad
Format: Article
Language:English
Published: SpringerOpen 2021-08-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Distributed localization
Maximum likelihood estimation
Message passing
Dynamic programming
Levenberg-Marquardt
Nonlinear least-squares
Online Access:https://doi.org/10.1186/s13634-021-00768-w

Internet

https://doi.org/10.1186/s13634-021-00768-w

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