Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

Blind Identification of Multichannels with Kalman Filter

Authors
Wanchun Qu, Tiemin Mei, Yulan Hu, Alfred Mertins
Corresponding Author
Wanchun Qu
Available Online March 2017.
DOI
10.2991/ifmca-16.2017.32How to use a DOI?
Keywords
multichannel,blind identification, cross relation, Kalman filter
Abstract

A novel approach for blind multichannel identification is proposed on the basis of Kalman filter theory. Taking advantage of the cross relations between any pair of the multichannel outputs, the process and measurement equations are established in state space. The standard Kalman filter algorithm is simplified by exploiting the special zero observation vector which will leads to the homogenous iterative ways of the state vector and the filtered state-error correlation matrix. Simulations show that the convergence speed is significantly higher than those of LMS-like approaches.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/ifmca-16.2017.32
ISSN
2352-5401
DOI
10.2991/ifmca-16.2017.32How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Wanchun Qu
AU  - Tiemin Mei
AU  - Yulan Hu
AU  - Alfred Mertins
PY  - 2017/03
DA  - 2017/03
TI  - Blind Identification of Multichannels with Kalman Filter
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 198
EP  - 202
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.32
DO  - 10.2991/ifmca-16.2017.32
ID  - Qu2017/03
ER  -