Distributed Feedback Quadratic Filter for Estimating Moving Target in Time- Varying Non-Gaussian Systems with Limited Sensing Range

Abstract

This research considers the tracking problem of a moving target in distributed sensor etworks with a limited sensing range (LSR) affected by non-Gaussian noise.In such sensor networks, observation loss due to LSR is a prevalent issue that has received insufficient attention.We introduce a time-varying random variable to describe whether the sensor observes a moving target at each moment.When a single sensor node is unable to receive information from other nodes, it cannot update its state estimation of the moving target once the target moves beyond this node ’ s observation range.We propose an information flow topology within distributed sensor networks to facilitate the reception of prior state estimation data transmitted by neighboring nodes.Based on this information, a quadratic distributed estimator is designed for each sensor, and an output injection term is introduced to handle unstable systems.Finally, a numerical example is provided to illustrate the effectiveness of the proposed control scheme.

Keywords

non-Gaussian system / quadratic estimation / moving target / time-varying

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Funding

National Natural Science Foundation of China(61803081)