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Robust Uncertainty Control of the Simplified Kalman Filter for Acoustic Echo Cancelation

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Abstract

One of the main difficulties in acoustic echo cancelation (AEC) is the adaptation strategy of the adaptive filter in different situations. Recently, the Kalman filter theory has been introduced to accommodate for the adaptation control in AEC applications, due to its optimal performance in many system identification problems. In this paper, a frequency-domain simplified Kalman filter for partitioned-block-based AEC is studied. The contribution is twofold. First, the relationship between the Kalman filter and an optimal variable step-size algorithm is revealed, which contributes to the motivation of this paper. Second, the influence of system uncertainty on the performance of the Kalman filter is analyzed, and a new uncertainty control method is developed. Simulation results confirm the superiority of the proposed method to the conventional ones.

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Authors and Affiliations

  1. 21 North 4th Ring Road, Haidian District, Beijing, China

    Chao Wu, Xiaofei Wang, Yanmeng Guo, Qiang Fu & Yonghong Yan

Authors
  1. Chao Wu
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  2. Xiaofei Wang
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  3. Yanmeng Guo
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  4. Qiang Fu
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  5. Yonghong Yan
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Corresponding author

Correspondence to Qiang Fu.

Additional information

This work is partially supported by the National Natural Science Foundation of China (Nos. 11161140319, 91120001, 61271426, 61305026), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant Nos. XDA06030100, XDA06030500), the National 863 Program (No. 2012AA012503) and the CAS Priority Deployment Project (No. KGZD-EW-103-2).

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Wu, C., Wang, X., Guo, Y. et al. Robust Uncertainty Control of the Simplified Kalman Filter for Acoustic Echo Cancelation. Circuits Syst Signal Process 35, 4584–4595 (2016). https://doi.org/10.1007/s00034-016-0263-1

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  • DOI: https://doi.org/10.1007/s00034-016-0263-1

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