{"ID":6024108,"CreatedAt":"2026-07-08T01:00:23.257252134Z","UpdatedAt":"2026-07-09T18:55:37.752591846Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.05561","arxiv_id":"2607.05561","title":"Distributed Multichannel Wiener Filtering for Topology-Unconstrained Wireless Acoustic Sensor Networks","abstract":"This paper introduces the topology-independent distributed multichannel Wiener filter (TI-dMWF), a novel algorithm for distributed node-specific signal estimation in wireless acoustic sensor networks (WASNs) with unconstrained topologies. The TI-dMWF enables each node in the network to compute its centralized multichannel Wiener filter solution by exchanging only low-dimensional fused signals, without requiring iterative estimation, unlike state-of-the-art approaches such as the topology-independent distributed adaptive node-specific signal estimation (TI-DANSE) algorithm. The TI-dMWF is proven optimal when each source is observed by either all nodes or only one node. Theoretical analysis and numerical simulations confirm that it achieves centralized estimation performance in a single run. Its latency as a function of the pruned-tree depth and its computational complexity are also analyzed. Its robustness is assessed in reverberant-room simulations under estimated second-order statistics, various network topologies, and deviations from the assumed observability model.","short_abstract":"This paper introduces the topology-independent distributed multichannel Wiener filter (TI-dMWF), a novel algorithm for distributed node-specific signal estimation in wireless acoustic sensor networks (WASNs) with unconstrained topologies. The TI-dMWF enables each node in the network to compute its centralized multichan...","url_abs":"https://arxiv.org/abs/2607.05561","url_pdf":"https://arxiv.org/pdf/2607.05561v1","authors":"[\"Paul Didier\",\"Pourya Behmandpoor\",\"Henri Gode\",\"Toon van Waterschoot\",\"Simon Doclo\",\"Jörg Bitzer\",\"Marc Moonen\"]","published":"2026-07-06T18:58:11Z","proceeding":"eess.AS","tasks":"[\"eess.AS\",\"cs.IT\",\"eess.SP\"]","methods":"[]","has_code":false}