0.1951m下降为-0.0022m。 The GPS positioning error and its correlation were analyzed, and then corresponding static and dynamic error were described as AR model by using time series methods. Finally, the process for dealing with the positioning error in navigation was presented, and the experiment was carried out with self-made agricultural robot. The experimental results showed that the proposed approach improves the positioning precision of GPS, and the correlation within the positioning error is decreased, similar to white noise. The average value of positioning error is reduced to -0.0022m from 0.1951m. So it can be applied to achieve high precision navigation of agricultural machinery.