Distributed Kalman Filtering Over Sensor Networks With Transmission Delays
Hongjiu Yang, Hui Li, Yuanqing Xia, Li Li
Abstract
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. A distributed Kalman filtering algorithm is designed to estimate the state based on a Kalman consensus filtering algorithm. Moreover, sufficient conditions are derived for convergence on estimation errors and the boundedness of error covariances, respectively. Finally, the effectiveness of the designed algorithm is validated by a simulation example.
Topics & Concepts
Kalman filterConvergence (economics)Fast Kalman filterComputer scienceBounded functionTransmission (telecommunications)Wireless sensor networkState (computer science)Moving horizon estimationExtended Kalman filterControl theory (sociology)EstimationAlgorithmMathematicsArtificial intelligenceEngineeringComputer networkTelecommunicationsEconomic growthControl (management)Mathematical analysisEconomicsSystems engineeringDistributed Control Multi-Agent SystemsDistributed Sensor Networks and Detection AlgorithmsTarget Tracking and Data Fusion in Sensor Networks