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improving partition-block-based acoustic echo canceler in under-modeling scenarios

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Document pages: 5 pages

Abstract: Recently, a partitioned-block-based frequency-domain Kalman filter (PFKF) hasbeen proposed for acoustic echo cancellation. Compared with the normalfrequency-domain Kalman filter, the PFKF utilizes the partitioned-blockstructure, resulting in both fast convergence and low time-latency. We presentan analysis of the steady-state behavior of the PFKF and found that it suffersfrom a biased steady-state solution when the filter is of deficient length.Accordingly, we propose an effective modification that has the benefit of theguaranteed optimal steady-state behavior. Simulations are conducted to validatethe improved performance of the proposed method.

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