1 Цитирования (Scopus)


We consider a dynamic network of sensors that cooperate to estimate parameters of multiple targets. Each sensor can observe parameters of a few targets, reconstructing the trajectories of the remaining targets via interactions with “neighbouring” sensors. The multitarget tracking has to be provided in the face of uncertainties, which include unknown-but-bounded drift of parameters, noise in observations and distortions introduced by communication channels. To provide tracking in presence of these uncertainties, we employ a distributed algorithm, being an “offspring” of a consensus protocol and the stochastic gradient descent. The mathematical results on the algorithm's convergence are illustrated by numerical simulations.

Язык оригиналаанглийский
Страницы (с-по)3589-3595
Число страниц7
СостояниеОпубликовано - 2020
Событие21st IFAC World Congress 2020 - Berlin, Германия
Продолжительность: 12 июл 202017 июл 2020

Предметные области Scopus

  • Системотехника


Подробные сведения о темах исследования «Consensus-based distributed algorithm for multisensor-multitarget tracking under unknown-but-bounded disturbances». Вместе они формируют уникальный семантический отпечаток (fingerprint).