| Citation: | HAN X，WANG Y X，CHENG X C，et al. A decentralized multi-sensor fusion estimator using finite memory buffers[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（2）：335-343 （in Chinese） doi: 10.13700/j.bh.1001-5965.2021.0240
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Decentralized fusion estimation is investigated for a networked uncertain stochastic system with stochastic delays and dropouts. The uncertainty of the model is described by non-Gaussian non-white noise perturbations considered in the system matrix. Several finite memory buffers with different lengths are set at the processing center to save the delivered observations of the sensors. A locally optimal constant gain estimator is proposed by minimizing the mean square error accounting for the non-Gaussian disturbance of the system matrix, and by using the real time arrival information based on the received measurements. Then, a decentralized fusion estimator is obtained by using the CI weighting algorithm, and the conditions ensuring the boundness of the fusion estimation error are given. Finally, a simulation example is provided to verify the effectiveness of the proposed approach.
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