Research Article
Improved Particle Filter Using Clustering Similarity of the State Trajectory with Application to Nonlinear Estimation: Theory, Modeling, and Applications
Table 5
Comparison of the average state tracking effect for four nonlinear algorithms running 1000 times.
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Note: SIR = sequential importance resampling; APF = auxiliary particle filter; ECSPF = Euclidean distance clustering similarity particle filter; CCSPF = Chebyshev distance clustering similarity particle filter; SSE = sum of squared error; MSE = mean squared error; RMSE = root mean squared error; = coefficient of determination. | ||||||||||||||||||||||||||||||||||||||||