The Particle Filter Algorithm Research for Target Tracking Based on Information Fusion

Juan Li; Hui Juan Hao; Mao Li Wang

doi:10.4028/www.scientific.net/AMR.628.440

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 628The Particle Filter Algorithm Research for Target...

The Particle Filter Algorithm Research for Target Tracking Based on Information Fusion

Abstract:

This paper researches the particle filters Algorithms for target tracking based on Information Fusion, it combines the traditional Kalman filter with the particle filter. For multi-sensor and multi-target tracking system with complex application background, which is nonlinear and non-gaussian system, the paper proposes an effective particle filtering algorithm based on information fusion for distributed sensor, this algorithm contributes to the solution of particle degradation problems and the phenomenon of particle lack, and achieve high precision for target tracking.

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Periodical:

Advanced Materials Research (Volume 628)

Pages:

440-444

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.628.440

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Online since:

December 2012

Authors:

Juan Li, Hui Juan Hao, Mao Li Wang

Keywords:

Information Fusion, Kalman Filter (KF), Particle Filters, Target Tracking

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