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- W1976371397 abstract "The work presented here deals with estimation fusion of smoothed state estimates. Two problems of fusion for smoothing are considered: fixed point and fixed interval. Optimal linear fusion rules in the sense of the optimal weighted least squares (OWLS) and the linear minimum mean-square error (LMMSE) are obtained. These rules are in recursive forms convenient for implementation. We also propose a more practical method for real-time smoothing, which in essence is fusing smoothed and filtered estimates. Illustrative numerical results are provided to verify the performance and credibility of the fusion rules." @default.
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- W1976371397 date "2012-04-01" @default.
- W1976371397 modified "2023-10-18" @default.
- W1976371397 title "Optimal Linear Fusion of Smoothed State Estimates" @default.
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- W1976371397 doi "https://doi.org/10.1109/taes.2012.6178059" @default.
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