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Multiple particle filtering for tracking wireless agents via Monte Carlo likelihood approximation
- Source :
- EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-20 (2019), EURASIP journal on advances in signal processing 2019(1), 52 (2019). doi:10.1186/s13634-019-0643-3
- Publication Year :
- 2019
- Publisher :
- SpringerOpen, 2019.
-
Abstract
- EURASIP journal on advances in signal processing 2019(1), 52 (2019). doi:10.1186/s13634-019-0643-3<br />Published by Springer, Heidelberg
- Subjects :
- Computer science
Monte Carlo method
lcsh:TK7800-8360
Context (language use)
02 engineering and technology
Tracking (particle physics)
01 natural sciences
law.invention
lcsh:Telecommunication
law
lcsh:TK5101-6720
0202 electrical engineering, electronic engineering, information engineering
Wireless
Multiple particle filtering
Bearing (mechanical)
business.industry
Tracking
010401 analytical chemistry
lcsh:Electronics
020206 networking & telecommunications
Filter (signal processing)
Wireless sensor networks
0104 chemical sciences
Computer Science::Multiagent Systems
Localization
ddc:620
business
Particle filter
Algorithm
Wireless sensor network
Particle filtering
Subjects
Details
- Language :
- English
- ISSN :
- 16876180
- Volume :
- 2019
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- EURASIP Journal on Advances in Signal Processing
- Accession number :
- edsair.doi.dedup.....4a1dcedabb2df552fb8b0ab3d0e6618f
- Full Text :
- https://doi.org/10.1186/s13634-019-0643-3