Enhanced Robust State Estimation via Spatio-Temporal Constraint EM Under Adverse Measurement Conditions
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...