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- Title
Robust filtering employing bias compensated M-estimate affine-projection-like algorithm.
- Authors
Vasundhara
- Abstract
This Letter presents a bias compensated M-estimate affine-projectionlike algorithm for robust adaptive filtering in case of noisy input signal and impulsive noise interference. In order to mitigate the effect of bias introduced due to noisy input signal, a bias compensation vector is derived along with robust cost function minimisation employing M-estimate and accordingly the weight update learning process of the adaptive filter has been improved. In conjunction with this, a new input noise variance estimation method is introduced using the median filter. The proposed algorithm is evaluated for acoustic echo cancellation application and compared with other existing methods. Simulation results demonstrate its effectiveness in terms of enhanced convergence and better steady-state performance in case of impulsive environment and input signal contaminated with noise.
- Subjects
ADAPTIVE filters; ECHO; BIAS correction (Topology); COST functions; ALGORITHMS; FILTERS (Mathematics)
- Publication
Electronics Letters (Wiley-Blackwell), 2020, Vol 56, Issue 5, p241
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2019.2763