TY - GEN
T1 - Distributed Weighted Least Squares Estimator Without Prior Distribution Knowledge
AU - Liu, Shun
AU - Li, Zhifei
AU - Zhang, Weifang
AU - Liang, Yan
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - This paper concerns with a distributed state estimation problem, where all sensor nodes are required to achieve a consensus estimation. The weighted least squares (WLS) estimator is a promising way to tackle this problem since it does not need the prior distribution knowledge with respect to the estimated quantity and noise terms. To this end, the equivalent relation between the information filter and the WLS estimator is explored first. Following this, an optimization problem coupled with a consensus constraint is established. Finally, the consensus-based distributed WLS problem is handled by the alternating direction method of multiplier. The convergence and consensus estimations between nodes are tested by numerical simulations and theoretical analyses.
AB - This paper concerns with a distributed state estimation problem, where all sensor nodes are required to achieve a consensus estimation. The weighted least squares (WLS) estimator is a promising way to tackle this problem since it does not need the prior distribution knowledge with respect to the estimated quantity and noise terms. To this end, the equivalent relation between the information filter and the WLS estimator is explored first. Following this, an optimization problem coupled with a consensus constraint is established. Finally, the consensus-based distributed WLS problem is handled by the alternating direction method of multiplier. The convergence and consensus estimations between nodes are tested by numerical simulations and theoretical analyses.
KW - Alternating direction method of multipliers
KW - Consensus estimation
KW - Distributed
KW - Weighted least squares
UR - http://www.scopus.com/inward/record.url?scp=85125675021&partnerID=8YFLogxK
U2 - 10.1109/IWCMC51323.2021.9498793
DO - 10.1109/IWCMC51323.2021.9498793
M3 - 会议稿件
AN - SCOPUS:85125675021
T3 - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021
SP - 1673
EP - 1678
BT - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021
Y2 - 28 June 2021 through 2 July 2021
ER -