Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU149052" target="_blank" >RIV/00216305:26220/24:PU149052 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S016516842300333X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S016516842300333X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.sigpro.2023.109259" target="_blank" >10.1016/j.sigpro.2023.109259</a>
Alternative languages
Result language
angličtina
Original language name
Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0
Original language description
The likelihood consensus (LC) enables Bayesian target tracking in a decentralized sensor network with possibly nonlinear and non-Gaussian sensor characteristics. Here, we propose an evolved LC methodology—dubbed “LC 2.0”—with significantly reduced intersensor communication. LC 2.0 uses multiple refinements of the original LC including a sparsity-promoting calculation of expansion coefficients, the use of a B-spline dictionary, a distributed adaptive calculation of the relevant state-space region, and efficient binary representations. We consider the use of the proposed LC 2.0 within a distributed particle filter and within a distributed particle-based probabilistic data association filter. Our simulation results demonstrate that a reduction of intersensor communication by a factor of about 190 can be obtained without compromising the tracking performance.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/8J19AT029" target="_blank" >8J19AT029: Advanced Bayesian Tracking Methods for Medical Imaging and Mobile Communications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SIGNAL PROCESSING
ISSN
0165-1684
e-ISSN
1879-2677
Volume of the periodical
215
Issue of the periodical within the volume
February 2024
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
13
Pages from-to
1-13
UT code for WoS article
001101697800001
EID of the result in the Scopus database
2-s2.0-85174005243