In this paper, we proposed an improved particle filter based on PSSB, dividing the target value and input value into a n

In this study, we proposed an enhanced particle filter based on PSSB, which involves dividing the target and input values into multiple segments. We subsequently established a piecewise matching mechanism based on the piecewise tendency and selected the most suitable function. The mathematical model of the fitting function approximating the target value was obtained through piecewise fitting. This model was then utilized as the input for the particle filter, enabling piecewise particle filtering. Our comparative experimental results demonstrate that the PSBB-PF approach significantly improves the precision by xxx, xxx, xxx, and xxx times compared to PF, EPF, IPE, and NPPF, respectively. These findings provide strong evidence supporting the effectiveness of our proposed method.