TY - GEN
T1 - Distributed Gaussian particle filtering using likelihood consensus
AU - Hlinka, Ondrej
AU - Slučiak, Ondrej
AU - Hlawatsch, Franz
AU - Djurić, Petar M.
AU - Rupp, Markus
PY - 2011
Y1 - 2011
N2 - We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a wireless sensor network. Each sensor runs a local GPF that computes a global state estimate. The updating of the particle weights at each sensor uses the joint likelihood function, which is calculated in a distributed way, using only local communications, via the recently proposed likelihood consensus scheme. A significant reduction of the number of particles can be achieved by means of another consensus algorithm. The performance of the proposed distributed GPF is demonstrated for a target tracking problem.
AB - We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a wireless sensor network. Each sensor runs a local GPF that computes a global state estimate. The updating of the particle weights at each sensor uses the joint likelihood function, which is calculated in a distributed way, using only local communications, via the recently proposed likelihood consensus scheme. A significant reduction of the number of particles can be achieved by means of another consensus algorithm. The performance of the proposed distributed GPF is demonstrated for a target tracking problem.
KW - distributed particle filter
KW - Gaussian particle filter
KW - likelihood consensus
KW - target tracking
KW - wireless sensor network
UR - https://www.scopus.com/pages/publications/80051658490
U2 - 10.1109/ICASSP.2011.5947168
DO - 10.1109/ICASSP.2011.5947168
M3 - Conference contribution
AN - SCOPUS:80051658490
SN - 9781457705397
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3756
EP - 3759
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Y2 - 22 May 2011 through 27 May 2011
ER -