Acoustic Feedback Cancellation Algorithm for Hearing Aids Based on a Weighted Error Adaptive Filter

Acoustic feedback is a common phenomenon that occurs during hearing aid use, limiting the maximum gain can provide. Effective cancellation of acoustic an essential feature aids. However, due to complex environments in which aids are used and frequently changing path, it difficult for existing adaptive filter-based algorithms balance both convergence speed steady-state error. For this reason, based on nonparametric variable step size (NPVSS) algorithm, weighted NPVSS algorithm also introduces prediction error method proposed paper. First, by introducing method, filter bias caused nonwhite source signal effectively reduced. Second, weighting mechanism weights according misalignment, enhances robustness while accelerating its convergence. In addition, new low-complexity herein energy estimation reusing misalignment information solve calculation problem algorithm. Simulation results show exhibits greater faster than similar algorithms. The implemented with real performance measured dummy head soundproof room. test demonstrate achieves 35% reduction time compared PEM-IMLMS 60% PEM-NLMS. Furthermore, reduces sound pressure level residues PEM-NLMS approximately 2 dB SPL 6 SPL, respectively. These indicate provide timely stable feedback.