Transcale fusion and estimation of 2-D multisensor dynamic systems

Lin Zhao*, Yingmin Jia, Junping Du, Jun Zhang

*Corresponding author for this work

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

Abstract

This paper presents a transcale data fusion scheme for a class of discrete two-dimensional (2-D) dynamic systems, which are measured by several different-scale sensors. The 2-D Haar wavelet transform is used to link the state notes at each of the scales within a 2-D time block and the standard 2-D state space model of the dynamic systems is established. This model satisfies the requirements of the 2-D Kalman filtering, which offers an optimal estimation algorithm for the 2-D dynamic systems. An example is included to illustrate the obtained results.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages3623-3628
Number of pages6
Publication statusPublished - 2012
Externally publishedYes
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference31st Chinese Control Conference, CCC 2012
Country/TerritoryChina
CityHefei
Period25/07/1227/07/12

Keywords

  • 2-D Systems
  • 2-D Wavelet Transform
  • Kalman Filtering
  • Multisensor Systems
  • Transcale Data Fusion

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