Low-Complexity Data-Reuse RLS Algorithm for Stereophonic Acoustic Echo Cancellation

• Published in: Applied sciences Vol. 13; no. 4; p. 2227
• Main Authors: Fîciu, Ionuț-Dorinel, Stanciu, Cristian-Lucian, Paleologu, Constantin, Benesty, Jacob
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Acceptable noise levels; Acoustics; Adaptive algorithms; adaptive filters; Algorithms; Analysis; Audio data; Communication; Complexity; Computer applications; data-reuse (DR); dichotomous coordinate descent (DCD); Mathematical models; Microphones; Random variables; recursive least-squares (RLS) algorithm; Sound effects; stereophonic acoustic echo cancellation (SAEC); system identification
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app13042227

Stereophonic audio devices employ two loudspeakers and two microphones in order to create a bidirectional sound effect. In this context, the stereophonic acoustic echo cancellation (SAEC) setup requires the estimation of four echo paths, each one corresponding to a loudspeaker-to-microphone pair. The widely linear (WL) model was proposed in recent literature in order to simplify the handling of the SAEC mathematical model. Moreover, low complexity recursive least- squares (RLS) adaptive algorithms were developed within the WL framework and successfully tested for SAEC scenarios. This paper proposes to apply a data-reuse (DR) approach for the combination between the RLS algorithm and the dichotomous coordinate descent (DCD) iterative method. The resulting WL-DR-RLS-DCD algorithm inherits the convergence properties of the RLS family and requires an amount of mathematical operations attractive for practical implementations. Simulation results show that the DR approach improves the tracking capabilities of the RLS-DCD algorithm, with an acceptable surplus in terms of computational workload.