Blind Identification of Multichannels with Kalman Filter

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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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  -