Robust Frequency-Domain Recursive Least M-Estimate Adaptive Filter For Acoustic System Identification

Hongsen He; Jingdong Chen; Jacob Benesty; Yi Yu

ICASSP 2020accepted0 citations

Robust Frequency-Domain Recursive Least M-Estimate Adaptive Filter For Acoustic System Identification

Hongsen He, Jingdong Chen, Jacob Benesty, Yi Yu

Abstract

To identify acoustic systems in non-Gaussian and Gaussian noises, a robust frequency-domain recursive least M-estimate (FRLM) adaptive filtering algorithm is proposed. The cost function of the adaptive filter is defined by using a robust time-domain M-estimator, while its update equation is derived from the normal equation in the frequency domain. As compared to the frequency-domain recursive least-squares adaptive filter, the FRLM algorithm obtains the robustness to non-Gaussian and Gaussian noises. The performance of the proposed algorithm is validated in simulated acoustic environments.

BibTeX

@inproceedings{icassp2020_robustfrequencyd,
  title = {Robust Frequency-Domain Recursive Least M-Estimate Adaptive Filter For Acoustic System Identification},
  author = {Hongsen He and Jingdong Chen and Jacob Benesty and Yi Yu},
  booktitle = {ICASSP 2020},
  year = {2020}
}