Abstract
This paper is concerned with the target tracking problem for a class of wireless localization systems with unknown but bounded noises. Since the energy supply of wireless sensor nodes is rather scarce, a component-based event-triggered mechanism is utilized to reduce the signal transmission frequency by discarding the unnecessary information transmissions. The objective of the addressed problem is to design an event-triggered set-membership filter for target tracking with guaranteed performance. An estimate-based linearization approach is employed to reconstruct the innovation and a particle swarm optimization (PSO) algorithm is adopted to determine the uncertain scaling matrix generated by the linearization. The desired time-varying filter gain matrix is derived by solving a convex optimization problem. Finally, the personnel safety monitoring problem in a mine industrial site is considered in the simulation experiment to demonstrate the effectiveness of the proposed filtering algorithm.
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