  A one-shot algorithm called iterationless DANSE (iDANSE) is introduced to
perform distributed adaptive node-specific signal estimation (DANSE) in a fully
connected wireless acoustic sensor network (WASN) deployed in an environment
with non-overlapping latent signal subspaces. The iDANSE algorithm matches the
performance of a centralized algorithm in a single processing cycle while
devices exchange fused versions of their multichannel local microphone signals.
Key advantages of iDANSE over currently available solutions are its
iterationless nature, which favors deployment in real-time applications, and
the fact that devices can exchange fewer fused signals than the number of
latent sources in the environment. The proposed method is validated in
numerical simulations including a speech enhancement scenario.
