Distributed Cross-Relation-Based Frequency-Domain Blind System Identification Using Online-Admm

M. Blochberger, F. Elvander, R. Ali, M. Moonen, T. van Waterschoot, J. Østergaard, J. Jensen

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

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.
AlkuperäiskieliEnglanti
Otsikko2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
KustantajaIEEE
Sivut1-5
Sivumäärä5
ISBN (elektroninen)978-1-6654-6867-1
ISBN (painettu)978-1-6654-6868-8
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Workshop on Acoustic Signal Enhancement - Bamberg, Saksa
Kesto: 5 syysk. 20228 syysk. 2022

Workshop

WorkshopInternational Workshop on Acoustic Signal Enhancement
LyhennettäIWAENC
Maa/AlueSaksa
KaupunkiBamberg
Ajanjakso05/09/202208/09/2022

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