Optimal Sequential Fusion Estimation with Communication Delays and Correlated Noises

被引：0
作者：
Zhang, Shankai [1 ]
Zhu, Cui [1 ]
Dai, Juan [2 ]
Li, Li [3 ]
Xie, Yinggang [1 ]
机构：
[1] Beijing Informat Sci & Technol Univ, Sch Informat & Commun Engn, Beijing 100101, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Beijing Key Lab High Dynam Nav Technol, Beijing 100101, Peoples R China
[3] Yanshan Univ, Sch Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
来源：
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年
基金：
中国国家自然科学基金;
关键词：
sequential fusion; communication delay; noise correlation; modified Kalman filter; SYSTEMS;
D O I：
10.23919/chicc.2019.8865985
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose an optimal sequential fusion estimation algorithm for the multi-sensor systems with communication delays and correlated noises. A buffer is introduced to storage the measurements which are delayed. Meanwhile, an orthogonal transformation method is adopted to deal with the correlations between the measurement noises of different sensors. Based on that, a low-dimensional sequential fusion filter is proposed, and the performance of the algorithm is analyzed. The simulation results show the effectiveness of the proposed algorithms.
引用
收藏
页码：3648 / 3652
页数：5
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