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Particle Filtering Algorithm for INS/GPS Integrated Navigation

Sun Hua-dong

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Abstract

When the noise statistical characteristics in the INS/GPS integrated navigation system are not accurate, the performance of the Kalman filtering algorithm will decrease. In view of this, a particle filtering algorithm for INS/GPS integrated navigation is proposed. The simulated results demonstrate that the algorithm can reduce the influence caused by the unaccuracy of noise statistical characteristics.

About this research paper

What this paper is about

When the noise statistical characteristics in the INS/GPS integrated navigation system are not accurate, the performance of the Kalman filtering algorithm will decrease. In view of this, a particle filtering algorithm for INS/GPS integrated navigation is proposed. The simulated results demonstrate that the algorithm can reduce the influence caused by the unaccuracy of noise statistical characteristics.

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Available abstract

When the noise statistical characteristics in the INS/GPS integrated navigation system are not accurate, the performance of the Kalman filtering algorithm will decrease. In view of this, a particle filtering algorithm for INS/GPS integrated navigation is proposed. The simulated results demonstrate that the algorithm can reduce the influence caused by the unaccuracy of noise statistical characteristics.

Key concepts: Global Positioning System, GPS/INS, Kalman filter, Navigation system, Particle filter, Noise (video), Algorithm, Computer science

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