Evaluation of performances of digital adaptive filters in acoustic echo cancellation

Wireless network link is debilitated by fading, attenuation, non-linear distortion and noise. Analogically sound system in a conference room shows similar phenomena due to the fact that the reflected feedback signals resemble the multi-path propagation of wireless communication; exception is that the noise level is very low. The signal path of the feedback signal is a non-linear system can be replaced by a finite impulse response filter. The aim of the paper is to compare the performance of three well known adaptive filters (Frequency Domain Adaptive Filter, Least Mean Square Filter, Kalman Filter) in context of echo cancellation under adaptive white Gaussian noisy environment.