In response to the echo and noise interference problems faced by multi-user full-duplex
voice communication scenarios, this work proposes a complete solution from signal
modeling to beamforming optimization. First, by converting the Bluetooth channel
into a virtual acoustic channel, a comprehensive acoustic transmission model cover-
ing single-source and multi-source scenarios is established. On this basis, a variety
of beamforming and filtering strategies are discussed, and finally, the Multichannel
Wiener Filter (MWF) beamforming scheme is proposed. At the same time, for the
time-varying spatial domain, the update of the covariance matrix combined with Voice
Activity Detector (VAD) is discussed. The simulation shows that the MWF scheme
has good robustness and adaptability under different Bluetooth channel latency and
low Signal-to-Interference Ratio (SIR) environments; when the user end is equipped
with a sufficient number of microphones or there are many bystanders, the system
performance is further improved.