Adaptive Distributed Estimation Fusion Algorithm based on the Consensus Averaging Algorithm

摘要：

This paper focuses on the distributed iterative parameter estimation scheme, based on the consensus averaging algorithm, for estimating an unknown parameter from the noisy measurements. A new spatio-temporal adaptive algorithm, called the Consensus Averaging-based Adaptive Estimation Fusion (CA-AEF) algorithm is proposed, which accelerates the convergence rate of the current distributed iterative scheme. This algorithm models each node as an adaptive filter, and the performance improvement is achieved by introducing an adaptive weight updating method. Simulation results show that the proposed algorithm largely improves the convergence rate of the distributed parameter estimation, and also improve the estimation accuracy.

作者: Feng Xi Zhong Liu

作者单位: Electrical Engineering Department, Nanjing University of Science and Technology, Nanjing, China

会议类型: 国际会议

会议名称: 2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)

会议地点: 成都

会议语种:英文

页码: 406-409

在线出版日期: 2009-07-23（万方平台首次上网日期，不代表论文的发表时间）