JOURNAL ARTICLE

Kalman/Particle Filter for Integrated Navigation System

Abstract

Particle filter is introduced.Since the particle filter would bring hard computation, a new Kalman/Particle mixed filter used on SINS/GPS integrated navigation system was proposed.The new method divides the system into two submodels, one is linear, the other one is nonlinear, and then implement Kalman filter and particle filter separately.The simulation results show that their performance is almost equal, but the computation complexity of the Kalman/particle filter is much lower than traditional particle filter.

Keywords:
Kalman filter Particle filter Computer science Extended Kalman filter Navigation system Particle (ecology) Real-time computing Artificial intelligence Geology

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Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
GNSS positioning and interference
Physical Sciences →  Engineering →  Aerospace Engineering

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