This study proposes an enhanced robust filtering algorithm based on spatio-temporal constraint expectation maximization to address the degradation of state estimation in multi-sensor localization systems (MSLS) caused by adverse measurement conditions, primarily incomplete data and heavy-tailed non-Gaussian noise. Firs...
Yu Lu, Zhang-Ming He, Bo-Wen Hou et al.· IEEE Transactions on Automat...· 0 citations
Traditional satellite impulsive maneuver detection methods suffer from low accuracy, unreliable time estimation, dependence on manual parameters, and poor noise robustness. This paper proposes a hybrid neural network model to detect impulsive maneuvers and pinpoint the start and end of the maneuver window. First, the m...
Jun-Jie Wang, Xiao-Gang Pan, Jiong-Qi Wang et al.· International Conference on...· 0 citations
An adaptive robust reconstruction strategy integrated into a hybrid modeling framework combining long short-term memory and self-attention mechanisms is proposed, which outperforms traditional approaches in nearly all detection performance metrics, and achieves both lower false negative and false alarm rates.
Ju-Hui Wei, Jiong-Qi Wang, Peng-Yi Wang et al.· Measurement science and tech...· 0 citations
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