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Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion

In most practical applications, the tracking process needs to update the data constantly. However, outliers may occur frequently in the process of sensors’ data collection and sending, which affects the performance of the system state estimate. In order to suppress the impact of observation outliers...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Sensors (Basel)
Main Authors: Deng, Zhihong, Yin, Lijian, Huo, Baoyu, Xia, Yuanqing
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6112039/
https://ncbi.nlm.nih.gov/pubmed/30042346
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18082406
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