Results 161 to 170 of about 202,753 (224)

Distributed Kalman Filtering for Interconnected Dynamic Systems

IEEE Transactions on Cybernetics, 2021
This article is concerned with the distributed Kalman filtering problem for interconnected dynamic systems, where the local estimator of each subsystem is designed only by its own information and neighboring information.
Yuchen Zhang, Bo Chen, Li Yu, D. Ho
semanticscholar   +3 more sources

Privacy Preserving via Secure Summation in Distributed Kalman Filtering

IEEE Transactions on Control of Network Systems, 2022
Average consensus is a major operation in distributed Kalman filtering. It requires neighboring nodes to exchange state information with each other, which may result in undesirable private data leakage.
Wenjie Ding, Wen Yang, Jiayu Zhou, Ling Shi, Guanrong Chen   +4 more
semanticscholar   +1 more source

Distributed Kalman filtering for sensor networks

2007 46th IEEE Conference on Decision and Control, 2007
In this paper, we introduce three novel distributed Kalman filtering (DKF) algorithms for sensor networks. The first algorithm is a modification of a previous DKF algorithm presented by the author in CDC-ECC '05. The previous algorithm was only applicable to sensors with identical observation matrices which meant the process had to be observable by ...
R. Olfati-Saber
semanticscholar   +2 more sources

Distributed Kalman Filtering for Speech Dereverberation and Noise Reduction in Acoustic Sensor Networks

IEEE Sensors Journal, 2023
In acoustic sensor networks (ASNs), the desired speech signal is commonly corrupted by reverberation and background noise. To solve this problem, the distributed Kalman filtering method for joint dereverberation and noise reduction is proposed in this ...
Ruijiang Chang, Zhe Chen, F. Yin
semanticscholar   +1 more source

Total Variation-Based Distributed Kalman Filtering for Resiliency Against Byzantines

IEEE Sensors Journal, 2023
This article proposes a distributed Kalman filter (DKF) with enhanced robustness against Byzantine adversaries. A Byzantine agent is a legitimate network agent that, unlike an honest agent, manipulates information before sharing it with neighbors to ...
Ashkan Moradi, Naveen K. D. Venkategowda, Stefan Werner   +2 more
semanticscholar   +1 more source

Minimal Number of Sensor Nodes for Distributed Kalman Filtering

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
Finding and identifying the minimal number of sensor nodes for a sensor network is one of the most basic problems for the implementation of distributed state estimators.
Wangyan Li, Fuwen Yang, D. Thiel, Guoliang Wei   +3 more
semanticscholar   +1 more source

Distributed Kalman filtering for sensor networks with random sensor activation, delays, and packet dropouts

International Journal of Systems Science, 2021
This paper studies a distributed Kalman filtering problem for sensor networks, where sensor nodes may suffer from measuring the target state with a random activation nature and random delayed and lost state estimates of neighbour nodes due to ...
Hao Jin, Shuli Sun
semanticscholar   +1 more source

Distributed Kalman Filtering Over Sensor Networks With Transmission Delays

IEEE Transactions on Cybernetics, 2020
This article is concerned with a distributed state estimation problem over sensor networks. The communication links of the sensor networks are subject to bounded time-varying transmission delays.
Hongjiu Yang, Hui Li, Yuanqing Xia, Li Li   +3 more
semanticscholar   +1 more source

Privacy-Preserving Distributed Kalman Filtering Based on State Decomposition and Dynamic Mask

IEEE Transactions on Aerospace and Electronic Systems
In recent years, distributed Kalman filtering has emerged as a critical method for state estimation over wireless sensor networks. However, the sharing of information among various nodes poses privacy challenges, potentially leading to data leakage.
K. Si, Peng Li, Zhihang Yuan, Xiang-Dong Jiang, Zheng-Xian Wei   +4 more
semanticscholar   +1 more source

GMM-Based Distributed Kalman Filtering for Target Tracking Under Cyberattacks

IEEE Sensors Letters
To address the target tracking problem in wireless sensor networks subject to malicious cyberattacks, this letter proposes a distributed Kalman filtering approach based on the Gaussian mixture model (GMM).
Jingxian Luo, Hongbo Zhu
semanticscholar   +1 more source