Application of Hybrid Filtering Algorithm Based on Neural Network in INS/GPS Integrated Navigation System

摘要

Filtering algorithm is One of the key technologies that affect the performance and reliability of INS/GPS integrated navigation systems. The paper adopts hybrid filtering algorithm based on neural network. Using the powerful learning and identification capabilities of the neural network, the hybrid filtering algorithm solve the problem of the Kalman filtering precision degradation caused by the system noise and the measurement noise and the absence of the GPS signal. The simulation results show that the hybrid filtering algorithm is effective.