Improved Particle Filter Using Clustering Similarity of the State Trajectory with Application to Nonlinear Estimation: Theory, Modeling, and Applications

<div>RMSE of SIR, APF, GPF, ECSPF, and CCSPF for 15 random simulation runs. Note: SIR = sequential importance resampling; APF = auxiliary particle filter; GPF = Gaussian particle filter; ECSPF = Euclidean distance clustering similarity particle filter; CCSPF = Chebyshev distance clustering similarity particle filter.</div>

Journal of Sensors

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Figure 3: Improved Particle Filter Using Clustering Similarity of the State Trajectory with Application to Nonlinear Estimation: Theory, Modeling, and Applications 

Figure 3 | Improved Particle Filter Using Clustering Similarity of the State Trajectory with Application to Nonlinear Estimation: Theory, Modeling, and Applications 