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• W2143147745 abstract "When multiple UAVs collaborate to track a maneuvering target, their position measurement sensors are sometimes corrupted by noise biases (e.g. sensor drifting). In this case, the zero-mean noise assumption of the Kalman filter is therefore violated and the desired optimal estimate will not be guaranteed. In this paper, an H-infinity filter is utilized to estimate the position of the maneuvering target to compensate for non-zero-mean noise. Furthermore, the constrained H-infinity filter is shown to be superior to the Kalman filter." @default.
• W2143147745 created "2016-06-24" @default.
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• W2143147745 date "2010-01-01" @default.
• W2143147745 modified "2023-09-26" @default.
• W2143147745 title "Robust estimation of a maneuvering target from multiple unmanned air vehicles' measurements" @default.
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• W2143147745 doi "https://doi.org/10.1109/cts.2010.5478465" @default.
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