A New Robust Hybrid Acoustic Echo Cancellation Algorithm for Speech Communication in Car Environments
This paper studies a new robust hybrid adaptive filtering algorithm for acoustic echo cancellation (AEC) in car speech communication system. The proposed algorithm integrates the affine projection algorithm (APA) and normalized least mean square (NLMS) algorithm. It can switch between them with a coefficient derivative-based technique to achieve overall optimum convergence performance. To help the algorithm combat deteriorating impulsive interferences widely encountered in car environments and enhance the system robustness in double talk period, robust statistics technique is also incorporated into the proposed algorithm. Experiments are conducted to verify the improved and robust overall AEC convergence performance achieved by the new algorithm.
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