A Fault-Tolerant Data Fusion Method of MEMS Redundant Gyro System Based on Weighted Distributed Kalman Filtering [PDF]
Micromachines, 2019 The application of the Micro Electro-mechanical System (MEMS) inertial measurement unit has become a new research hotspot in the field of inertial navigation.
Binhan Du +4 more
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Optimally Distributed Kalman Filtering with Data-Driven Communication [PDF]
Sensors, 2018 For multisensor data fusion, distributed state estimation techniques that enable a local processing of sensor data are the means of choice in order to minimize storage and communication costs.
Katharina Dormann +2 more
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Robust Distributed Kalman Filtering: On the Choice of the Local Tolerance [PDF]
Sensors, 2020 We propose a distributed Kalman filter for a sensor network under model uncertainty. The distributed scheme is characterized by two communication stages in each time step: in the first stage, the local units exchange their observations and then they can ...
Alessandro Emanuele +3 more
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Globally Optimal Distributed Kalman Filtering for Multisensor Systems with Unknown Inputs [PDF]
Sensors, 2018 In this paper, the state estimation for dynamic system with unknown inputs modeled as an autoregressive AR (1) process is considered. We propose an optimal algorithm in mean square error sense by using difference method to eliminate the unknown inputs ...
Yali Ruan, Yingting Luo, Yunmin Zhu
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Distributed Kalman Filtering Based on the Non-Repeated Diffusion Strategy [PDF]
Sensors, 2020 Estimation accuracy is the core performance index of sensor networks. In this study, a kind of distributed Kalman filter based on the non-repeated diffusion strategy is proposed in order to improve the estimation accuracy of sensor networks.
Xiaoyu Zhang, Yan Shen
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The Optimal Distributed Kalman Filtering Fusion With Linear Equality Constraint
IEEE Access, 2021 In this paper, the optimal distributed Kalman filtering fusion with linear equality constraint (LEC) is proposed. When the Kalman filter subject to LEC is applied in state estimation of distributed linear dynamic system, all local error covariance ...
Hua Li, Shengli Zhao
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Distributed Kalman Filtering With Finite-Time Max-Consensus Protocol
IEEE Access, 2018 This paper investigates the distributed state estimation problem for an unstable dynamic plant in a sparsely strongly connected sensors network. The dynamics of the plant are collectively observable for all sensors, but not necessarily locally observable
Peng Liu, Yu-Ping Tian, Ya Zhang
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Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems [PDF]
SensorsThe growth of unmanned aerial vehicle applications in the low-altitude economy demand advanced multi-target tracking systems. Unlike traditional approaches that assume independent measurements, distributed systems generate coupled measurements containing
Bing Han +3 more
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High Accuracy Distributed Kalman Filtering for Synchronizing Frequency and Phase in Distributed Phased Arrays [PDF]
IEEE Signal Processing Letters, 2023 The coherent operation of a distributed phased array relies on accurate alignment of the electrical states (i.e., frequencies and phases) of the antenna nodes, which is challenging to achieve, particularly at microwave frequencies.
M. Rashid, J. Nanzer
semanticscholar +1 more source
Consensus optimization approach for distributed Kalman filtering: performance recovery of centralized filtering with proofs [PDF]
arXiv.org, 2022 This paper investigates the distributed Kalman filtering (DKF) from distributed optimization viewpoint. Motivated by the fact that Kalman filtering is a maximum a posteriori estimation (MAP) problem, which is a quadratic optimization problem, we ...
Kunhee Ryu, J. Back
semanticscholar +1 more source