| 引用本文: | 王迪,郝钢.基于信息矩阵迹的分布式容积信息一致性滤波算法[J].控制理论与应用,2026,43(3):607~613.[点击复制] |
| WANG Di,HAO Gang.Distributed cubature information consensus filtering algorithm based on information matrix trace[J].Control Theory & Applications,2026,43(3):607~613.[点击复制] |
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| 基于信息矩阵迹的分布式容积信息一致性滤波算法 |
| Distributed cubature information consensus filtering algorithm based on information matrix trace |
| 摘要点击 461 全文点击 66 投稿时间：2023-10-09 修订日期：2025-10-07 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.30668 |
| 2026,43(3):607-613 |
| 中文关键词 分布式容积信息滤波 线性最小方差融合估计 一致性 |
| 英文关键词 distributed cubature information filters linear minimum variance fusion estimation consistency |
| 基金项目 国家自然科学基金项目(61503127),黑龙江省高校基本业务经费项目(2021–KYYWF–0027),黑龙江省信息融合估计与检测重点实验室资助. |
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| 中文摘要 |
| 针对非线性分布式无线传感器网络系统,本文提出了一种基于信息矩阵迹的分布式容积信息一致性滤波
算法(TDCIF). 本文首先分析了经典分布式容积信息一致性滤波算法(DCIF)的收敛性,并证明了所提出的TDCIF算
法随着迭代次数的增加,收敛到次优标量线性最小方差融合估计.TDCIF算法虽然在精度上低于DCIF算法,但
TDCIF在迭代过程中传输的数据量更少,这使得网络通信负担大幅度减少,系统的实时性和鲁棒性得到了明显改
善. 最后,仿真实例验证了所提出算法的有效性. |
| 英文摘要 |
| For nonlinear distributed wireless sensor networks, a distributed cubature information consensus filtering
algorithm based on information matrix trace (TDCIF) is proposed in this paper. In this paper, the convergence of the
classical distributed cubature information consensus filtering algorithm (DCIF) is analyzed. It is proved that the proposed
TDCIF algorithm gradually converges to suboptimal scalar linear minimum variance fusion estimation with the increase of
iterations. Although the TDCIF has lower accuracy than the DCIF, it transmits less data during the iteration process, which
greatly reduces the communication burden and significantly improves the real-time and robustness of the system. Finally, a
simulation example is given to verify the effectiveness of the proposed algorithm. |