收稿日期: 2016-09-26
修回日期: 2017-03-27
网络出版日期: 2017-11-30
CI Distributed Algorithm under Non-stationary and Imperfect Communication Conditions
Received date: 2016-09-26
Revised date: 2017-03-27
Online published: 2017-11-30
匡红梅, 李伟 . 非平稳与非完美通信条件下的CI分布式算法[J]. 应用科学学报, 2017 , 35(6) : 717 -725 . DOI: 10.3969/j.issn.0255-8297.2017.06.005
In wireless sensor networks, distributed estimation is an important issue, in which sensor nodes estimate parameters of interest from the physical world. This paper develops a consensus-plus-innovations (CI) distributed algorithm to deal with distributed estimation. The focus is on the mean convergence performance of a CI distributed algorithm under non-stationary and imperfect communication conditions. Theoretical analysis shows that the algorithm is mean convergent and has an asymptotic normality property. Also, non-stationarity and imperfect communication conditions have no effect on the mean convergence performance and asymptotic normality. However, these conditions have an impact on the asymptotic variance of the algorithm. Validity of the CI distributed algorithm is shown by simulation.
Key words： CI algorithm; distributed estimation; non-stationary; mean convergence
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