JOURNAL ARTICLE

Kalman filtering for systems with multiple packet dropouts

Abstract

In this note,Kalman filtering for systems with multiple packet dropouts is introduced. The random multiple packet dropouts are assumed to subject to the Bernoulli random binary distribution. A Kalman filter based on the white, zero-mean, correlated noises is proposed to design. And the stability of the designed filter is analyzed in this paper. Finally, a numerical example is exploited to show the usefulness of the proposed filter.

Keywords:
Kalman filter Bernoulli's principle Network packet Fast Kalman filter Computer science Bernoulli distribution Control theory (sociology) Invariant extended Kalman filter Stability (learning theory) Alpha beta filter Extended Kalman filter Filter (signal processing) Ensemble Kalman filter Algorithm Mathematics Moving horizon estimation Random variable Artificial intelligence Statistics Engineering Machine learning Computer network Computer vision

Metrics

4
Cited By
1.42
FWCI (Field Weighted Citation Impact)
9
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering

Related Documents

JOURNAL ARTICLE

Robust Kalman Filtering for Uncertain Discrete-time Systems with Multiple Packet Dropouts

Ge GuoBaofeng Wang

Journal:   ACTA AUTOMATICA SINICA Year: 2010 Vol: 36 (5)Pages: 767-772
JOURNAL ARTICLE

Optimal Filtering for Systems With Multiple Packet Dropouts

Shuli SunLihua XieWendong XiaoNan Xiao

Journal:   IEEE Transactions on Circuits & Systems II Express Briefs Year: 2008 Vol: 55 (7)Pages: 695-699
JOURNAL ARTICLE

Switched filtering for networked systems with multiple packet dropouts

Yafeng Guo

Journal:   Journal of the Franklin Institute Year: 2017 Vol: 354 (7)Pages: 3134-3151
© 2026 ScienceGate Book Chapters — All rights reserved.