An Active Noise Control Algorithm Simulation Results and Discussion without Secondary Path Identification Based on Kalman Filter

DOI

10.2991/isci-15.2015.234How to use a DOI?

Keywords

active noise control (ANC);Kalman filter; secondary path; state-space.

Abstract

To illustrate the effectiveness of the proposed MECKF (model error compensatory Kalman filter) algorithm, its higher performance is demonstrated by comparing with DSLMS algorithm, and the feasibility of the model noise determination by comparison with MECKF-S-H method. In the simulation experiments compared with DSLMS algorithm, we employed stationary condition for single-tone and broadband ANC, non-stationary conditions with primary path, secondary path varying and additive noise increasing, the results show that the MECKF algorithm converge fast, has a wide noise reduction band, and performs well in either stationary or non-stationary condition with single-tone and broadband original noise.

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  - Can Chen
AU  - Ru He
PY  - 2015/01
DA  - 2015/01
TI  - An Active Noise Control Algorithm Simulation Results and Discussion without Secondary Path Identification Based on Kalman Filter
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1761
EP  - 1769
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.234
DO  - 10.2991/isci-15.2015.234
ID  - Chen2015/01
ER  -