Diffusion multi-rate LMS algorithm for acoustic sensor networks
For wireless acoustic sensor networks, it addresses the practical problem of nodes operating at different sampling rates, but the contribution is incremental.
The paper proposes a diffusion multi-rate LMS algorithm (DMLMS) for distributed estimation with different sampling rates, and extends it to acoustic sensor networks using a filtered-x LMS variant. Simulations demonstrate effectiveness.
In this paper, we present a diffusion multi-rate least-mean-square (LMS) algorithm, named DMLMS, which is an effective solution for distributed estimation when two or more observation sequences are available with different sampling rates. Then, we focus on a more practical application in the wireless acoustic sensor networks (ASN). The filtered-x LMS (FxLMS) algorithm is extended to the distributed multi-rate system and it introduces collaboration between nodes following a diffusion strategy. Simulation results show that the effectiveness of the proposed algorithms.