@inproceedings{fd64c24e9221427a9d912af2e4371281,
title = "On distributed linear filtering with noisy communication",
abstract = "We consider distributed filtering of a scalar linear stochastic process under communication corrupted by Gaussian noise. We investigate how communication noise degrades the performance of an existing distributed algorithm and develop a novel algorithm that mitigates these problems. We rigorously investigate the properties of the new distributed estimator and discuss optimal tuning of (fixed) gains that minimize the asymptotic error covariance. We demonstrate the effectiveness of our algorithm through numerical simulations.",
author = "Savas, {Anthony J.} and Vaibhav Srivastava and Leonard, {Naomi Ehrich}",
note = "Publisher Copyright: {\textcopyright} 2017 American Automatic Control Council (AACC).; 2017 American Control Conference, ACC 2017 ; Conference date: 24-05-2017 Through 26-05-2017",
year = "2017",
month = jun,
day = "29",
doi = "10.23919/ACC.2017.7963360",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2699--2704",
booktitle = "2017 American Control Conference, ACC 2017",
address = "United States",
}