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Conference papers
Identification of bilinear forms with the kalman filter
Abstract : In this paper, we develop the Kalman filter for the identification of bilinear forms. In this framework, the bilinear term is defined with respect to the impulse responses of a spatiotemporal model, which resembles a multiple-input/single-output system. Recently, the identification of such bilinear forms was addressed in terms of the Wiener filter and conventional adaptive algorithms, i.e., least-mean-square and recursive least-squares. In this work, apart from the derivation of the Kalman filter tailored for the identification of bilinear forms, a simplified (i.e., low complexity) version of the algorithm is also presented. Simulation results support the theoretical findings and indicate the good performance of the proposed solutions.
https://hal-centralesupelec.archives-ouvertes.fr/hal-01742448
Contributor : Pablo Piantanida <>
Submitted on : Sunday, March 25, 2018 - 12:02:03 AM
Last modification on : Wednesday, September 16, 2020 - 4:47:35 PM
Contributor : Pablo Piantanida <>
Submitted on : Sunday, March 25, 2018 - 12:02:03 AM
Last modification on : Wednesday, September 16, 2020 - 4:47:35 PM