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.
Type de document :
Communication dans un congrès
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Alberta, Canada. 〈10.1109/icassp.2018.8461971 〉
Liste complète des métadonnées

https://hal-centralesupelec.archives-ouvertes.fr/hal-01742448
Contributeur : Pablo Piantanida <>
Soumis le : dimanche 25 mars 2018 - 00:02:03
Dernière modification le : mardi 20 novembre 2018 - 16:23:37

Identifiants

Citation

Laura Maria Dogariu, Silviu Ciochina, Constantin Paleologu, Jacob Benesty, Pablo Piantanida. Identification of bilinear forms with the kalman filter. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Alberta, Canada. 〈10.1109/icassp.2018.8461971 〉. 〈hal-01742448〉

Partager

Métriques

Consultations de la notice

100