Abstract
In this paper, we propose a distributed cross-relation-based adaptive algorithm for blind identification of single-input multiple-output (SIMO) systems in the frequency domain, using the alternating direction method of multipliers (ADMM) in a wireless sensor network (WSN). The network consists of a fixed number of nodes each equipped with a processing unit and a sensor that represents an output channel of the SIMO system. The proposed algorithm exploits the separability of the cross-channel relations by splitting the multichannel identification problem into sub-problems containing a subset of channels, in a way that is determined by the network topology. Each node delivers estimates for the subset of channel frequency responses, which are then combined into a consensus estimate per channel using general-form consensus ADMM in an adaptive updating scheme. Using numerical simulations, we show that it is possible to achieve convergence speeds and steady-state misalignment values comparable to fully centralized low-cost frequency-domain algorithms.
Original language | English |
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Title of host publication | International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings |
Publisher | IEEE |
Publication date | Sept 2022 |
Article number | 9914714 |
ISBN (Electronic) | 9781665468671 |
DOIs | |
Publication status | Published - Sept 2022 |
Event | 2022 International Workshop on Acoustic Signal Enhancement (IWAENC) - Bamberg, Germany Duration: 5 Sept 2022 → 8 Sept 2022 |
Conference
Conference | 2022 International Workshop on Acoustic Signal Enhancement (IWAENC) |
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Country/Territory | Germany |
City | Bamberg |
Period | 05/09/2022 → 08/09/2022 |
Keywords
- admm
- blind system identification
- distributed signal processing
- multichannel signal processing
- online-admm