This paper describes a new approach for the blind identification of a two–channel FIR system from a finite number of output measurements, in the presence of additive and uncorrelated white noise. The proposed approach is based on frequency domain data and, as a major novelty, it enables the estimation to be frequency selective. The features of the proposed method are analyzed by means of Monte Carlo simulations. The benefits of filtering the data and using only part of the frequency domain are highlighted by means of a numerical example.

Blind identification of two–channel FIR systems: a frequency domain approach

Soverini, Umberto
Primo
;
2020

Abstract

This paper describes a new approach for the blind identification of a two–channel FIR system from a finite number of output measurements, in the presence of additive and uncorrelated white noise. The proposed approach is based on frequency domain data and, as a major novelty, it enables the estimation to be frequency selective. The features of the proposed method are analyzed by means of Monte Carlo simulations. The benefits of filtering the data and using only part of the frequency domain are highlighted by means of a numerical example.
Preprints of the 21st IFAC World Congress (Virtual)
932
938
Soverini, Umberto; Söderström, Torsten
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/800851
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