Log-linear Chernoff Fusion for Distributed Particle Filtering

Nadav Lehrer, Or Tslil, Avishy Carmi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In large scale sensor networks the cross-correlations between nodes are rarely known. Failing to account for this detail in the design of distributed estimation schemes may lead to statistical inconsistencies and may even cause some estimators to diverge at various nodes within the network. Among the approaches that have been proposed to address this problem, covariance intersection is perhaps the most well-known. Other techniques rely on Chernoff fusion, of which covariance intersection is a special case. In a recent work we have introduced a technique, particles intersection, which is the application of Chernoff fusion using the empirical probability densities of two or more particle filters. This approach, however, may in some cases suffer from an excessive computational overhead. This issue is alleviated in this work by turning to a different yet related information fusion technique, a convex combination of probability densities. The utility of the new approach is demonstrated through simulations of cooperative robots localization, where it is compared with particles intersection and another state-of-the-art technique for distributed particle filtering. The results show a decisive advantage for the new technique both in terms of estimation accuracy and computational load. In addition, we provide an account of known techniques for tuning of the fusion parameters, and also suggest a new one based on the optimization of Chernoff information.

Original languageEnglish
Title of host publicationFUSION 2019 - 22nd International Conference on Information Fusion
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996452786
StatePublished - 1 Jul 2019
Event22nd International Conference on Information Fusion, FUSION 2019 - Ottawa, Canada
Duration: 2 Jul 20195 Jul 2019

Publication series

NameFUSION 2019 - 22nd International Conference on Information Fusion

Conference

Conference22nd International Conference on Information Fusion, FUSION 2019
Country/TerritoryCanada
CityOttawa
Period2/07/195/07/19

Keywords

  • Chernoff information
  • Distributed information fusion
  • particles intersection

ASJC Scopus subject areas

  • Information Systems
  • Instrumentation

Fingerprint

Dive into the research topics of 'Log-linear Chernoff Fusion for Distributed Particle Filtering'. Together they form a unique fingerprint.

Cite this