Title :
Multichannel Wiener filter performance analysis in presence of mismodeling
Author :
Cherkassky, Dani ; Gannot, Sharon
Author_Institution :
Fac. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
Abstract :
A randomly positioned microphone array is considered in this work. In many applications, the locations of the array elements are known up to a certain degree of random mismatch. We derive a novel statistical model for performance analysis of the multi-channel Wiener filter (MWF) beamformer under random mismatch in sensors location. We consider the scenario of one desired source and one interfering source arriving from the far-field and impinging on a linear array. A theoretical model for predicting the MWF mean squared error (MSE) for a given variation in sensors location is developed and verified by simulations. It is postulated that the probability density function (p.d.f) of the MSE of the MWF obeys Γ distribution. This claim is verified empirically by simulations.
Keywords :
Wiener filters; array signal processing; mean square error methods; microphone arrays; probability; MSE; MWF; array elements; beamformer; linear array; mean squared error; multichannel Wiener filter; performance analysis; probability density function; random mismatch; randomly positioned microphone array; sensors location; statistical model; Arrays; Manifolds; Microphones; Reliability; Sensors; Speech; Speech processing; Beamforming; Multi-Channel Wiener Filter; Random Microphone arrays;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6853712