计算机科学 ›› 2013, Vol. 40 ›› Issue (3): 155-158.
• 网络与通信 • 上一篇 下一篇
钱慧,周样云,许志猛,余轮
出版日期:
发布日期:
Online:
Published:
摘要: 针对移动传感器网络拓扑结构的动态特性,提出了一种快速卡尔曼一致性滤波定位算法。该算法依据Mc- tropolis准则,仅利用通信节点之间的RSSI值快速调整融合步长。在网络拓扑结构未知的情况下,利用卡尔曼一致性 滤波定位算法实现位置求精。仿真结果表明,与Saber算法相比,该方法能够在降低通信量的同时,提高节点的定位 精度,适合移动传感器网络。
关键词: 移动传感器网络,节点定位,分布式卡尔曼滤波器,一致性融合
Abstract: Aimed at the dynamic properties of mobile sensor networks topology, a quickly kalman-consensus filter local- ization scheme was proposed. I}his algorithm only uses the RSSI value between the communication nodes to quickly ad- just fusion step on Metropolis rule. Under the situation of unknown networks topology, more precise localization is a- chieved steadily by kalman-consensus filter. From the simulation results, compared with Saber algorithm, the proposed scheme can depress the communication consummation and suits mobile sensor networks.
Key words: Mobile sensor networks, Node localization, Distributed kalman filter, Consensus fusion
钱慧,周样云,许志猛,余轮. 移动传感器网络节点快速一致性滤波定位[J]. 计算机科学, 2013, 40(3): 155-158. https://doi.org/
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://www.jsjkx.com/CN/
https://www.jsjkx.com/CN/Y2013/V40/I3/155
Cited