Adaptive Feedback Cancellation Using a Partitioned-Block Frequency-Domain Kalman Filter Approach With PEM-Based Signal Prewhitening

作者：Bernardi Giuliano^*; van Waterschoot Toon; Wouters Jan; Moonen Marc

来源：IEEE/ACM Transactions on Audio Speech and Language Processing, 2017, 25(9): 1480-1494.

DOI：10.1109/TASLP.2017.2716188

• Adaptive feedback cancellation (AFC)
• acoustic feedback control
• frequency-domain adaptive filter (FDAF)
• Kalman filter
• prediction-error method (PEM)

Adaptive filtering based feedback cancellation is a widespread approach to acoustic feedback control. However, traditional adaptive filtering algorithms have to be modified in order to work satisfactorily in a closed-loop scenario. In particular, the undesired signal correlation between the loudspeaker signal and the source signal in a closed-loop scenario is one of the major problems to address when using adaptive filters for feedback cancellation. Slow convergence speed and limited tracking capabilities are other important limitations to be considered. Additionally, computationally expensive algorithms as well as long delays should be avoided, for instance, in hearing aid applications, because of power constraints, important to extend battery life, and real-time implementations requirements, respectively. We present an algorithm combining good decorrelation properties, by means of the prediction-error method based signal prewhitening, fast convergence, good tracking behavior, and low computational complexity by means of the frequency-domain Kalman filter, and low delay by means of a partitioned-block implementation.

• 出版日期2017-9