The Precise Positioning Algorithm Optimization Base on PSO-PF for Agricultural Machinery Navigation System

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Abstract
A Modified Weight Particle Swarm Optimization-Particle Filter is proposed for the integrated navigation nonlinear system in agricultural machinery operation. The algorithm combines the advantages of particle filter and the global and local searching ability of particle swarm optimization, which modifies the particle weight and accelerates the particle convergence on optimizing particle update mode by adding advantage and disadvantage. It reduces the probability of falling into local optimum, and the global accurate positioning is achieved in a short time. The feasibility and superiority of modified weight particle swarm optimization particle filter are verified by simulation and experiment.