  Personal sound zone (PSZ) systems, which aim to create listening (bright) and
silent (dark) zones in neighboring regions of space, are often based on
time-varying acoustics. Conventional adaptive-based methods for handling PSZ
tasks suffer from the collection and processing of acoustic transfer
functions~(ATFs) between all the matching microphones and all the loudspeakers
in a centralized manner, resulting in high calculation complexity and costly
accuracy requirements. This paper presents a distributed pressure-matching (PM)
method relying on diffusion adaptation (DPM-D) to spread the computational load
amongst nodes in order to overcome these issues. The global PM problem is
defined as a sum of local costs, and the diffusion adaption approach is then
used to create a distributed solution that just needs local information
exchanges. Simulations over multi-frequency bins and a computational complexity
analysis are conducted to evaluate the properties of the algorithm and to
compare it with centralized counterparts.
