A State Estimation in Acoustic Reverberation Room Based on Some Wide Sense Digital Filter - Comparison with Use of Kalman Filter -

Abstract

For the state estimation of acoustic field in a reverberation room fluctuating randomly in a non-Gaussian distribution form under the contamination of the background noise, some wide sense digital filter based on Bayes' theorem and a stochastic type Hermite series expansion form of the probability distribution is newly proposed. The proposed method is experimentally confirmed by applying it to the actual reverberation room and its result is compared with the one using the Kalman filter.