Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target Tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU156003" target="_blank" >RIV/00216305:26220/24:PU156003 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICASSP48485.2024.10447108" target="_blank" >http://dx.doi.org/10.1109/ICASSP48485.2024.10447108</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSP48485.2024.10447108" target="_blank" >10.1109/ICASSP48485.2024.10447108</a>
Alternative languages
Result language
angličtina
Original language name
Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target Tracking
Original language description
We propose a communication-efficient scheme for distributed Bayesian target tracking (distributed particle filtering) in possibly nonlinear and non-Gaussian state-space models. The scheme is a sparsity-promoting evolution of the likelihood consensus (LC) that uses the orthogonal matching pursuit (OMP), a B-spline dictionary, a distributed adaptive determination of the relevant state-space region, and an efficient binary representation of the LC expansion coefficients. Our simulation results show that a reduction of interagent 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
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
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
Article name in the collection
49th IEEE International Conference on Acoustics, Speech, and Signal Processing
ISBN
979-8-3503-4485-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
„“-„“
Publisher name
IEEE
Place of publication
Soul
Event location
Seoul
Event date
Apr 14, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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