Results 1 to 10 of about 48,416 (251)
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
doaj +6 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +1 more source
Distributed receding horizon Kalman filter [PDF]
49th IEEE Conference on Decision and Control (CDC), 2010 In this paper a distributed version of the Kalman filter is proposed. In particular, the estimation problem is reduced to the optimization of a cost function that depends on the system dynamics and the latest output measurements and state estimates which is distributed among the local subsystems by means of dual decomposition.
Maestre J.M., Giselsson P., Rantzer A.
openaire +3 more sources
Frontiers in Robotics and AI, 2023 In this paper, a distributed cooperative filtering strategy for state estimation has been developed for mobile sensor networks in a spatial–temporal varying field modeled by the advection–diffusion equation.
Ziqiao Zhang +4 more
doaj +1 more source
Distributed Kalman estimation with decoupled local filters [PDF]
Automatica, 2021 We study a distributed Kalman filtering problem in which a number of nodes cooperate without central coordination to estimate a common state based on local measurements and data received from neighbors. This is typically done by running a local filter at each node using information obtained through some procedure for fusing data across the network.
Marelli, Damian, Sui, Tianju, Fu, Minyue
openaire +4 more sources