期刊论文

Wu, Mou

英文

International Journal of Distributed Sensor Networks

1550-1477

2017

13

4

10.1177/1550147717703967

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work described in this paper was supported by the Doctor Initial of Hubei University of Science and Technology (nos BK1520 and BK1521), the National Natural Science Foundation of China (nos 61370107 and 61672258), the Project of Natural Science Foundation of Hubei Province (no. 2015CFB405), and the Hubei Provincial Department of Education Scientific Research Programs for Youth Project (no. Q20153003).

本校为其他机构

Distributed parameter estimation problem has attracted much attention due to its important foundation of some applications in wireless sensor networks. In this work, we first investigate the performance tradeoff between existing incremental least-mean-squares algorithm and traditional steepest-descent algorithm from the aspects of initial convergence rate, steady-state convergence behavior, and oscillation, and present the motivations for improvements. Thereby we propose an improved incremental least-mean-squares distributed estimation algorith...