The Analysis of Interference Suppression Capability of MVDR Algorithm Based on Microphone Array

When we experimented on the sound source localization, if the interference and noise in the environment are influential, CBF (Conventional Beam-Forming) algorithms will hardly locate the sound source precisely. In certain situations, the sound source signal could be covered by interference. Consequently, we determine to restrain the effects of noise and interference on sound source localization with the MVDR (Minimum Variance Distortionless Response) algorithm. In the context of a fewer number of array elements and lower snapshots, the MVDR algorithm still sustains loftier resolution. The weight coefficient acquired by the algorithm can minimize the array output power in the anticipant direction. By means of simulation experiments, we broke down the capability of this algorithm including the ability of improving system performance, resolution and interference immunity. Eventually, we use the ICP (Inductively Coupled Plasma) MPA201 microphones and USB-2406 DAQ (Data Acquisition) device to constitute a signal acquisition system to gather the sound source signal. We performed MVDR processing on the factual test data and verified the resolution and interference suppression attribute of the algorithm.