By incorporating consensus on a weighted directed graph, the proposed algorithm enables sensors to selectively assign higher weightage to accurate information and lower weightage to inaccurate or redundant information.
Nov 8, 2022 · By employing weighted consensus, the algorithm is able to achieve a directional flow of information in heterogeneous sensor networks, leading to ...
The Kalman Consensus Filter (KCF) is a seminal work in the field of distributed consensus-based estimation, which accomplishes this.However, the KCF algorithm ...
This paper provides a novel algorithm for distributed Kalman filtering for multiple agents networked by a communication graph topology. In distributed filtering ...
In this work, we develop a novel algorithm, which we call Optimal Kalman Consensus Filter for Weighted Directed Graphs (OKCF-WDG), which addresses both of these ...
This method is used to achieve a consensus on sensor data which is then used in traditional Kalman filtering for local state estimate updates. Examples of ...
By employing weighted consensus, the algorithm is able to achieve a directional flow of information in heterogeneous sensor networks, leading to improved ...
In this paper, we present an event-triggered optimal Kalman consensus filter (EOKCF) for state estimation in distributed wireless sensor networks.
Oct 22, 2024 · Information-Weighted Consensus Optimal Kalman Filter for Linear Systems with Fading Channels. Conference Paper. May 2024. Xiaohan Liu · Chunyan ...
Aug 19, 2022 · This paper investigates the distributed Kalman filtering (DKF) from distributed optimization viewpoint. Motivated by the fact.