关键词: 欠定模型, 回声消除, 稀疏冲激响应, 变步长

Abstract: To deal with the trade-off between the mis-adjustment and the convergence speed in constant step-size adaptive filtering algorithms for under-modeling acoustic echo cancellation, a variable step-size proportionate normalized sub-band adaptive filtering algorithm, namely VSS-PNSAF, is proposed. Taking into account under-modeling noise and disturbance noise with a great impact on the performances of acoustic echo cancellation applications, the proposed algorithm obtains a step size control approach for VSS-PNSAF by forcing the posterior error to cancel negative effect of these noise and using the relation between the posteriori and the priori error signals. Echo cancellation simulation results confirm that the proposed algorithm can constitute a significant improvement in the convergence speed with very small mis-adjustment when compared with the constant step-size PNSAF algorithm.

Key words: under-modeling, acoustic echo cancellation, sparse impulse response, variable step size