On distributed linear filtering with noisy communication

Anthony J. Savas, Vaibhav Srivastava, Naomi Ehrich Leonard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


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.

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509059928
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2017 American Control Conference, ACC 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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