Abstract
In echo cancellation, the main goal is to recover the near-end signal from the error signal of the adaptive filter, which identifies the echo path. In this context, the Kalman filter represents a very appealing choice, since its basic criterion follows the minimization of the system misalignment (instead of the usual error-based cost function). In this paper, we propose a Kalman filter with individual control factors, in terms of using a different level of uncertainty for each coefficient of the filter. As compared to the basic Kalman filter (which imposes the same uncertainty for all the coefficients of the impulse response), the proposed algorithm achieves better performance, especially in terms of the steady-state misalignment. © 2014 IEEE.
Recommended Citation
C. Paleologu et al., "A Kalman Filter with Individual Control Factors for Echo Cancellation," ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5974 - 5978, article no. 6854750, Institute of Electrical and Electronics Engineers, Jan 2014.
The definitive version is available at https://doi.org/10.1109/ICASSP.2014.6854750
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
adaptive filters; Echo cancellation; Kalman filter; system identification
International Standard Book Number (ISBN)
978-147992892-7
International Standard Serial Number (ISSN)
1520-6149
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2014
