Multi-Sensor Interactive Multi-Model PHD Filter for Maneuvering Multi-Target Tracking

Abstract:

In maneuvering multiple targets tracking problem, Probability Hypothesis Density(PHD) filter can be used to estimate the multi-target state and the number at each time step, but single model method may not provide accurate estimates. In this paper, an interactive multiple model PHD filter is proposed, and then multiple sensor interactive multiple model PHD filter is proposed to improve the tracking of multiple maneuvering targets. PHD particle filter implementation is used to perform the proposed method consisting of multiple maneuvering targets.

• Periodical: Applied Mechanics and Materials (Volumes 336-338)
• Pages: 200-203
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.336-338.200
• Online since: July 2013
• Authors: Shu Rong Tian*, Xiao Shu Sun, Xi Jing Sun
• Keywords: Interactive Multi-Model, Multi-Target Tracking, Particle Filter (PF), PHD Filter

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