Title :
Efficient and distributed tracking of evolving state
Author :
Muhammed O. Sayin;N. Denizcan Vanli;Ibrahim Delibalta;Suleyman S. Kozat
Author_Institution :
Department of Electrical and Electronics Engineering, Bilkent University, Bilkent, Ankara 06800, Turkey
Abstract :
We propose a distributed tracking algorithm for evolving states. Here, we consider a distributed network of agents that observe an underlying state through a linear model. The agents can process observation data in a fully distributed manner irrespective of any centralized processing unit. We introduce a novel strategy based on aggregation of information in time at each agent and we employ a time-windowing approach in order to achieve computationally efficient algorithm with enhanced tracking performance. This strategy also performs efficiently in terms of the communication load over certain environments, e.g., where observation data has smaller dimension than state vector. Finally, we demonstrate the performance of the introduced algorithm over several scenarios.
Keywords :
"Yttrium","Signal processing algorithms","Steady-state","Distributed databases","Markov processes","Load modeling","Heuristic algorithms"
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2015 IEEE 25th International Workshop on
DOI :
10.1109/MLSP.2015.7324383