A Recursive System Identification Method Based on Binary MeasurementsReport as inadecuate

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1 E3S - Supélec Sciences des Systèmes Gif-sur-Yvette 2 DCIS - Département Conception et Intégration dans les Systèmes CEA-LETI - Laboratoire d-Electronique et des Technologies de l-Information : DRT-LETI

Abstract : An online approach to parameter estimation problems based on binary observations is presented in this paper. This recursive identification method relies on a least-mean squares approach which makes it possible to estimate the coefficients of a finite-impulse response system knowing only the system input and the sign of the system output. The impulse response is identified up to a positive multiplicative constant. The role of the regulative coefficient is investigated thanks to simulated data. The proposed method is compared with another online approach: it is shown that the proposed method is competitive with the other one in terms of estimation quality and of calculation complexity.

Author: Kian Jafaridinani - Jérôme Juillard - Eric Colinet -

Source: https://hal.archives-ouvertes.fr/


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