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In this work, the robust weighted state fusion Kalman filter is studied for multisensor systems with multiplicative noises, uncertain noise variances and missing measurements. By introducing two fictitious noises, the system is converted into one with only uncertain noise variances. According to the minimax robust estimation principle, based on the worst-case conservative system with the upper bound...
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