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- W3165205670 abstract "This study presents a robust two-step weighted least squares (WLS) localization algorithm using the MM estimator and the Kalman filter with the maximum Versoria criterion (MVC). An outlier-resistant statistic for the actual transformed distance is determined and the covariance matrix of the outlier-resistant statistic is calculated. This covariance matrix is used in the two-step WLS method. The simulation results demonstrate that the localization performances of the proposed algorithms outperform that of the conventional methods." @default.
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- W3165205670 date "2021-01-01" @default.
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- W3165205670 title "Robust Localization Employing Weighted Least Squares Method Based on MM Estimator and Kalman Filter With Maximum Versoria Criterion" @default.
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- W3165205670 doi "https://doi.org/10.1109/lsp.2021.3082329" @default.
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