Abstract
AbstractDistributed state estimation algorithm plays a key role in target tracking via sensor networks. This paper proposes a consensus-based unbiased converted measurement information filter for target tracking in a space-based radar network. The proposed filter can fulfill the distributed estimation for non-linear systems with the aid of a consensus strategy, and can linearizing the measurement equation by employing the unbiased measurement conversion method. The performance of the proposed filter is investigated by considering a low Earth orbit target tracking problem. The simulation results show that the proposed algorithm outperforms the traditional consensus-based distributed state estimation method in aspect of convergence rate. Also, the impact of measurement errors on the accuracy of the proposed method is researched.KeywordsTarget trackingDistributed filterConverted measurement
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