传感器网络环境中基于采样数据分布式滤波的研究综述

A survey on distributed sampled-data filtering for sensor networks

近年来,由大量具有感知、计算和通信能力的微型传感器组成的传感器网络越来越广泛地应用在生产及生活的方方面面.另一方面,随着微电子及数字信号技术的发展,利用采样数据的离散化的数字控制器或滤波器被普遍使用.为了反映这个新兴领域的最新进展,本文对传感器网络环境中基于采样数据分布式滤波的研究展开了综述.首先,综述了传感器网络中几种分布式滤波方法的研究进展.然后,针对不同的采样方式,详细总结了采样数据系统的控制与滤波问题的研究工作.随后,对目前已有的传感器网络基于采样数据的分布式滤波的研究结果进行了介绍.最后,对传感器网络环境中基于采样数据的分布式滤波方面未来可能的研究课题进行了展望.

In recent years, wireless sensor networks with sensing, computation and communication abilities have had broad applications in a variety of engineering practice, production process, and daily life.In addition, with rapid progress of micro-electronics and digital signal technologies, discrete digital controllers/filters have been widely used ,which has led to the sampled-data issues.To reflect the state-of-the-art of the advances in this emerging area, this paper provides a survey on distributed sampled-data filtering for sensor networks. First, the current progress on distributing filtering methods over sensor networks is reviewed.Then, the study on the control/filtering problems of sampled-data systems based on different sampling schemes is summarized in detail.Subsequently, most recent results on sampled-data distributed filtering problems over sensor networks are highlighted.Finally, a coherent framework on possible research topics is established on the distributed filtering for sensor networks with sampled-data.