Results 51 to 60 of about 70,228 (184)
Distributed Kalman filtering for cascaded systems [PDF]
Engineering Applications of Artificial Intelligence, 2008 The Kalman filter provides an efficient means to estimate the state of a linear process, so that it minimizes the mean of the squared estimation error. However, for naturally distributed applications, the construction and tuning of a centralized observer may present difficulties.
Z. Lendek, R. Babuška, B. De Schutter
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IEEE Access, 2020 In this paper, an improved distributed unscented Kalman particle filter (DUKPF) is proposed for the problem of tracking a single moving acoustic source in noisy and reverberant environments with distributed microphone networks.
Qiaoling Zhang +3 more
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Distributed Periodic Steady State Kalman Filter
International Journal of Circuits, Systems and Signal Processing, 2022 In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time. The number of processors is equal to the model period. The resulting speedup is also derived.
Assimakis, N., Adam, M., Massouros, C.
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Distributed Multisensor Multitarget Tracking Algorithm with Time-Offset Registration
Xibei Gongye Daxue Xuebao, 2020 In multisensor systems, the signal processing delay, measurement acquisition delay, and other factors will lead to imprecisely time-stamped measurements, namely, the problem of time-offset.
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Discrete EKF with pairwise Time Correlated Measurement Noise for Image-Aided Inertial Integrated Navigation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 An image-aided inertial navigation implies that the errors of an inertial navigator are estimated via the Kalman filter using the aiding measurements derived from images.
N. S. Gopaul, J. G. Wang, B. Hu
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Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation
Energies, 2021 Accurate and real-time acquisition of vehicle state parameters is key to improving the performance of vehicle control systems. To improve the accuracy of state parameter estimation for distributed drive electric vehicles, an unscented Kalman filter (UKF)
Wenkang Wan +3 more
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Distributed Object Tracking Using a Cluster-Based Kalman Filter in Wireless Camera Networks [PDF]
, 2008 Local data aggregation is an effective means to save sensor node energy and prolong the lifespan of wireless sensor networks. However, when a sensor network is used to track moving objects, the task of local data aggregation in the network presents a new
Medeiros, Henry +2 more
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Distributed Monitoring of Robot Swarms with Swarm Signal Temporal Logic
, 2020 In this paper, we develop a distributed monitoring framework for robot swarms so that the agents can monitor whether the executions of robot swarms satisfy Swarm Signal Temporal Logic (SwarmSTL) formulas.
Julius, Agung, Yan, Ruixuan
core
Distributed Kalman Filtering Based on the Non-Repeated Diffusion Strategy
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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A Nonparametric Adaptive Nonlinear Statistical Filter
, 2014 We use statistical learning methods to construct an adaptive state estimator for nonlinear stochastic systems. Optimal state estimation, in the form of a Kalman filter, requires knowledge of the system's process and measurement uncertainty.
Busch, Michael, Moehlis, Jeff
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