TY - GEN

T1 - Weighted SPSA-based Consensus Algorithm for Distributed Cooperative Target Tracking

AU - Erofeeva, Victoria

AU - Granichin, Oleg

AU - Granichina, Olga

AU - Proskurnikov, Anton

AU - Sergeenko, Anna

N1 - Publisher Copyright: © 2021 EUCA.

PY - 2021

Y1 - 2021

N2 - In this paper, a new algorithm for distributed multi-target tracking in a sensor network is proposed. The main feature of that algorithm, combining the SPSA techniques and iterative averaging ("consensus algorithm"), is the ability to solve distributed optimization problems in presence of signals with fully uncertain distribution; the only assumption is the signal's boundedness. As an example, we consider the multi-target tracking problem, in which the unknown signals include measurement errors and unpredictable target's maneuvers; statistical properties of these signals are unknown. A special choice of weights in the algorithm enables its application to targets exhibiting different behaviors. An explicit estimate of the residual's covariance matrix is obtained, which may be considered as a performance index of the algorithm. Theoretical results are illustrated by numerical simulations.

AB - In this paper, a new algorithm for distributed multi-target tracking in a sensor network is proposed. The main feature of that algorithm, combining the SPSA techniques and iterative averaging ("consensus algorithm"), is the ability to solve distributed optimization problems in presence of signals with fully uncertain distribution; the only assumption is the signal's boundedness. As an example, we consider the multi-target tracking problem, in which the unknown signals include measurement errors and unpredictable target's maneuvers; statistical properties of these signals are unknown. A special choice of weights in the algorithm enables its application to targets exhibiting different behaviors. An explicit estimate of the residual's covariance matrix is obtained, which may be considered as a performance index of the algorithm. Theoretical results are illustrated by numerical simulations.

UR - http://www.scopus.com/inward/record.url?scp=85118114809&partnerID=8YFLogxK

U2 - 10.23919/ECC54610.2021.9655195

DO - 10.23919/ECC54610.2021.9655195

M3 - Conference contribution

AN - SCOPUS:85118114809

T3 - 2021 European Control Conference, ECC 2021

SP - 1074

EP - 1079

BT - 2021 European Control Conference, ECC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 European Control Conference, ECC 2021

Y2 - 29 June 2021 through 2 July 2021

ER -