Wavelet-Based Multi-Sensor Optimal Information Fusion

DOI

10.2991/aiie-15.2015.140How to use a DOI?

Keywords

wavelet transform; multi-scale filtering; optimal information fusion; multi-sensor

Abstract

The problem of multi-sensors information fusion is studied in time-frequency domain, and a new optimal criteria weighted by scalars for unify multi-sensor systems is presented. Wavelet transform is introduced in multi-scale signal filtering, the approximate component and details are both updated. The local sensor estimate is fused via an optimal algorithm weighted by scalars, then reconstruct at the finest scale. The method proposed: (1) “complete” multi-scale filtering for unify multi-sensor system, estimation performance is greatly enhanced; (2) distributed fusion weighted by scalars, only requires the computation of scalar weights, avoids the computation of matrix weights, the computational burden can obviously be reduced; (3) the simulation also shows it outperforms optimal fusion filter weighted by scalars and centralized multi-sensor fusion.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - M. Cai
AU  - J.X. Li
PY  - 2015/07
DA  - 2015/07
TI  - Wavelet-Based Multi-Sensor Optimal Information Fusion
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 523
EP  - 526
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.140
DO  - 10.2991/aiie-15.2015.140
ID  - Cai2015/07
ER  -