Federated Particle Filter Technology Based on JIDS/SINS/GPS Integrated Navigation System

Abstract:

In multi-sensor integrated navigation systems, when sub-systems are non-linear and with Gaussian noise, the federated Kalman filter commonly used generates large error or even failure when estimating the global fusion state. This paper, taking JIDS/SINS/GPS integrated navigation system as example, proposes a federated particle filter technology to solve problems above. This technology, combining the particle filter with the federated Kalman filter, can be applied to non-linear non-Gaussian integrated system. It is proved effective in information fusion algorithm by simulated application, where the navigation information gets well fused.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 1544-1548
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.1544
• Online since: August 2013
• Authors: Zi Yu Li, Yan Liu, Ping Zhu, Cheng Ying
• Keywords: Federated Filter, Federated Particle Filter, Integrated Navigation, Nonlinear System, Particle Filter (PF)

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