Robust Hierarchical-Optimization RLS Against Sparse Outliers
نویسندگان
چکیده
منابع مشابه
Robust State Estimation with Sparse Outliers
One of the major challenges for state estimation algorithms, such as the Kalman lter, is the impact of outliers that do not match the assumed Gaussian process and measurement noise. When these errors occur they can induce large state estimate errors and even lter divergence. This paper presents a robust recursive ltering algorithm, the l1-norm lter, that can provide reliable state estimates in ...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2020
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2019.2963188