Scalable distributed Kalman filtering through consensus

Shrut Kirti, Anna Scaglione

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

17 Citations (Scopus)

Abstract

Kalman filtering is a classical technique with a number of potential distributed applications in sensor networks. In this paper we consider a specific algorithm for distributed Kalman filtering proposed recently by Olfati-Saber [1]. We design a communication access protocol for wireless sensor networks that is tailored to converge rapidly to the desired estimate and provides scalable error performance as number of sensors increases. By exploiting the structure of the distributed filtering computations, we derive an optimal communication resource allocation policy for minimizing the component-wise state estimation error. We provide simulation results demonstrating the performance of our architecture.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages2725-2728
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

Fingerprint

sensors
Communication
State estimation
communication
Sensor networks
Resource allocation
resource allocation
Wireless sensor networks
state estimation
Network protocols
Sensors
estimates
simulation

Keywords

  • Average consensus
  • Distributed algorithms
  • Kalman filtering

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Kirti, S., & Scaglione, A. (2008). Scalable distributed Kalman filtering through consensus. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 2725-2728). [4518212] https://doi.org/10.1109/ICASSP.2008.4518212

Scalable distributed Kalman filtering through consensus. / Kirti, Shrut; Scaglione, Anna.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2008. p. 2725-2728 4518212.

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

Kirti, S & Scaglione, A 2008, Scalable distributed Kalman filtering through consensus. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 4518212, pp. 2725-2728, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 3/31/08. https://doi.org/10.1109/ICASSP.2008.4518212
Kirti S, Scaglione A. Scalable distributed Kalman filtering through consensus. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2008. p. 2725-2728. 4518212 https://doi.org/10.1109/ICASSP.2008.4518212
Kirti, Shrut ; Scaglione, Anna. / Scalable distributed Kalman filtering through consensus. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2008. pp. 2725-2728
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