The Amalgamated Particle Filter Algorithm Based on the Bayes Theory and Used to Control Navigation’s System Interferers

Abstract:

It introduces the algorithm of particle filter and the Bayes theory. The way is improved necessarily in the navigation system and then used in it. When one channel in the system is interfered and can’t work, using the changing particle’s weight factors which stand for the emanative channel in the system can control the interferer. The simulation shows the particle filter algorithm can through other channels control the interferer which occurs in the one channel. So the system also can work naturally.

• Periodical: Advanced Materials Research (Volumes 457-458)
• Pages: 1508-1513
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.457-458.1508
• Online since: January 2012
• Authors: Heng Hao Zhang, Xiu Yun Meng, Zao Zhen Liu
• Keywords: Bayes Theory, Disappearance of Retrogressive Phenomenon, Log-Likelihood Radio Analysis, Particle Filter (PF), Weight Value

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