TY - GEN
T1 - Globally optimal distributed information filter for mobile sensor network
AU - Yuan, Liang
AU - Xiwang, Dong
AU - Zheng, Zhang
AU - Qingdong, Li
AU - Zhang, Ren
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/29
Y1 - 2017/12/29
N2 - This paper studies the networked estimation of the state of a linear dynamical system. The focus is on developing a distributed estimation algorithm which could achieve the same performance as the centralized ones. A communication protocol which formally describes the network topology is introduced. By performing this protocol, the sum of the information vector contributions is computed, which is then used to update the local estimations through utilizing the information filter equations. One attractive feature of this algorithm is that it only takes finite communication times to derive globally optimal estimations. Monte Carlo simulations show that the proposed algorithm outperforms the other existing distributed estimation algorithm with the same communication burden.
AB - This paper studies the networked estimation of the state of a linear dynamical system. The focus is on developing a distributed estimation algorithm which could achieve the same performance as the centralized ones. A communication protocol which formally describes the network topology is introduced. By performing this protocol, the sum of the information vector contributions is computed, which is then used to update the local estimations through utilizing the information filter equations. One attractive feature of this algorithm is that it only takes finite communication times to derive globally optimal estimations. Monte Carlo simulations show that the proposed algorithm outperforms the other existing distributed estimation algorithm with the same communication burden.
UR - https://www.scopus.com/pages/publications/85050351868
U2 - 10.1109/CAC.2017.8243202
DO - 10.1109/CAC.2017.8243202
M3 - 会议稿件
AN - SCOPUS:85050351868
T3 - Proceedings - 2017 Chinese Automation Congress, CAC 2017
SP - 2535
EP - 2539
BT - Proceedings - 2017 Chinese Automation Congress, CAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Chinese Automation Congress, CAC 2017
Y2 - 20 October 2017 through 22 October 2017
ER -