Filtering of systems with heavy tailed noise: application to 3D target tracking with glint noise-Reference-Cited by-同舟云学术

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Filtering of systems with heavy tailed noise: application to 3D target tracking with glint noise

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
language:
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Author:

Battilotti Stefano¹,Cacace Filippo²,daAngelo Massimiliano³,Della Corte Emanuele⁴,Germani Alfredo⁵

Affiliation:

1. Sapienza University of Rome,Department of Computer Control and Menagement Engineering (DIAG)

2. Universita Campus Bio-medico di Roma,Italy

3. University of Milano-Bicocca,Department of Biotechnology and Biosciences (BtBs)

4. Digital Process Engineer,Fater S.p.A.

5. Universita dell'Aquila,Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867691.pdf?arnumber=9867691

Reference31 articles.

1. Filtering discrete-time systems with multiplicative noise in L2 spaces with applications;cacace;Systems & Control Letters,2021

2. Stabilization of Discrete Port-Hamiltonian Dynamics via Interconnection and Damping Assignment

3. Particle Filter for Ballistic Target Tracking with Glint Noise

4. Particle filter for manoeuvring target tracking via passive radar measurements with glint noise

5. Maximum likelihood identification of glint noise

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