Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations

In this paper, the particle filtering problem is investigated for a class of nonlinear/non-Gaussian systems with energy harvesting sensors subject to randomly occurring sensor saturations (ROSSs). The random occurrences of the sensor saturations are characterized by a series of Bernoulli distributed...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on signal processing Jg. 69; S. 15 - 27
Hauptverfasser:	Song, Weihao, Wang, Zidong, Wang, Jianan, Alsaadi, Fuad E., Shan, Jiayuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Energy distribution Energy harvesting Energy harvesting sensor Energy levels Energy measurement Filtration Moving targets multi-sensor systems Nonlinear systems nonlinear/non-Gaussian systems particle filtering Particle measurements randomly occurring sensor saturations Remote sensors Sensor phenomena and characterization Sensor systems Sensors Signal processing algorithms Tracking problem
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!