Abstract—This letter proposes a waiting-time-dependent semi-Markov (WTDM) switching based multiple model multiple hypothesis (M3H) filter to track a target ...
In a representative example it is shown that the M3H filter can outperform the widely used interacting multiple model (IMM) filter, both in terms of accuracy ...
WTDM-Based Filter for Target Tracking in the Presence of Outliers. Article ... The method is called the multiple model multiple hypothesis filter (M3H filter).
In this paper, a reweighted robust particle filter is proposed to acquire more accurate state estimation with robustness to outliers in the nonlinear model.
Missing: WTDM- M3H
Jun 3, 2024 · We also prove that ConvUKF has a bounded tracking error in the presence of outliers, which implies robust stability. The experimental results on ...
Missing: WTDM- M3H
This paper combines the mean shift algorithm with the Kalman filer for target tracking, and shows that the proposed algorithm is very effective to solve the ...
In this paper, we propose a novel approach that tackles the filtering problem in the presence of outliers and measurement model misspecification. ... 4.1 Robust ...
Missing: WTDM- M3H
During the process of maneuvering target tracking, the measurement may be disturbed by outliers, which leads to a decrease in the state estimation ...
Missing: WTDM- M3H
Target tracking simulations and experiments show that the tracking accuracy and consistency of the proposed filter are superior to those of the existing state- ...
The distributed mixture Kalman filtering method is proposed to track the state of the maneuvering target, which uses particle filtering to estimate the ...
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