Distributed AOA-based source positioning in NLOS with sensor networks
Pere Gimenez-Febrer, Alba Pagès-Zamora, Silvana Silva Pereira, Roberto López-Valcarce
Abstract
This paper focuses on the problem of positioning a source using angle-of-arrival measurements taken by a wireless sensor network in which some of the nodes experience non line-of-sight (LOS) propagation conditions. In order to mitigate the errors induced by the nodes in NLOS, we derive an algorithm that combines the expectation-maximization algorithm with a weighted least-squares estimation of the source position so that the nodes in NLOS are eventually identified and discarded. Moreover, a distributed version of this algorithm based on a diffusion strategy that iteratively refines the position estimate while driving the network to a consensus is presented.
BibTeX
@inproceedings{icassp2015_distributedaoaba,
title = {Distributed AOA-based source positioning in NLOS with sensor networks},
author = {Pere Gimenez-Febrer and Alba Pagès-Zamora and Silvana Silva Pereira and Roberto López-Valcarce},
booktitle = {ICASSP 2015},
year = {2015}
}