Schedule Communication for Decentralized State Estimation

• Published in: IEEE transactions on signal processing Vol. 61; no. 10; pp. 2525 - 2535
• Main Authors: Yang, Chao, Wu, Junfeng, Zhang, Wei, Shi, Ling
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Allocations; Applied sciences; Channel allocation; Channels; Decentralized; decentralized Kalman filtering; Detection, estimation, filtering, equalization, prediction; Estimation error; Exact sciences and technology; Exchanging; Information, signal and communications theory; networked state estimation; Optimal scheduling; Optimization; Resource management; Signal and communications theory; Signal, noise; State estimation; Strategy; Telecommunications and information theory; Temperature sensors; Tin; Transaction processing; Estimation error; Parameter estimation; Transmission channel; networked state estimation; Scheduling; Optimal strategy; Decentralized system; Optimal allocation; Channel allocation; Signal processing; Kalman filtering; State estimation; decentralized Kalman filtering
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2013.2246157

This paper considers decentralized state estimation subject to communication constraints. A group of agents measure the state of a process and obtain their state estimates by exchanging data with each other. Due to the communication constraint, only a few communication channels are available. The main objective of this paper is to allocate these channels among the agents so as to minimize their average estimation errors. We provide optimal allocation strategies for agents having the homogeneous and heterogeneous sensing capabilities, respectively.