Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/22131| Title: | Particle Filtering for Nonlinear/Non-Gaussian Systems with Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations |
| Authors: | Song, W Wang, Z Wang, J Alsaadi, FE Shan, J |
| Keywords: | particle filtering;nonlinear/non-Gaussian systems;andomly occurring sensor saturations;energy harvesting sensor;multi-sensor systems |
| Issue Date: | 9-Dec-2020 |
| Publisher: | IEEE |
| Citation: | Song, W., Wang, Z., Wang, J., Alsaadi, F.E. and Shan, J. (2021) 'Particle Filtering for Nonlinear/Non-Gaussian Systems with Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations', IEEE Transactions on Signal Processing, 69, pp. 15-27. doi: 10.1109/TSP.2020.3042951. |
| URI: | https://bura.brunel.ac.uk/handle/2438/22131 |
| DOI: | https://doi.org/10.1109/TSP.2020.3042951 |
| ISSN: | 1053-587X |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 992.13 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.