A Band-independent Variable Step Size Proportionate Normalized Subband Adaptive Filter Algorithm
This work addresses the need for adaptive echo cancellation algorithms with better convergence and steady-state error trade-offs, but is an incremental improvement over existing PNSAF-type methods.
The paper proposes a variable step size (VSS) strategy for proportionate normalized subband adaptive filter (PNSAF) algorithms that is independent of the proportionate principle, achieving faster convergence and lower steady-state error in acoustic echo cancellation. Simulations show improved performance over existing methods.
Proportionate-type normalized suband adaptive filter (PNSAF-type) algorithms are very attractive choices for echo cancellation. To further obtain both fast convergence rate and low steady-state error, in this paper, a variable step size (VSS) version of the presented improved PNSAF (IPNSAF) algorithm is proposed by minimizing the square of the noise-free a posterior subband error signals. A noniterative shrinkage method is used to recover the noise-free a priori subband error signals from the noisy subband error signals. Significantly, the proposed VSS strategy can be applied to any other PNSAF-type algorithm, since it is independent of the proportionate principles. Simulation results in the context of acoustic echo cancellation have demonstrated the effectiveness of the proposed method.