In any digital hearing aid (HAid), the input microphone and the receiver loudspeaker are closely located.
Furthermore, HAid cannot be tightly fitted for comfort reasons. Therefore, it is almost impossible to avoid
the acoustic feedback present due to the leakage path between the receiver loudspeaker and the input
microphone. This paper investigates acoustic feedback cancellation (AFC) by developing a hybrid adaptive
filtering approach. It is proposed to use two simultaneously adapted adaptive filters as in the previous
method. The adaptation algorithms are based on a delay-based normalized least mean square (NLMS)
algorithm. Furthermore, gradient information from a maximum Versoria-criterion (MVC)-based algorithm
is also incorporated in the proposed approach. The effectiveness of this approach is demonstrated through
extensive computer simulations.
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