Distributed fusion and target tracking based on Unscented information filter

作者：Yang Xiao Jun

来源：Journal of Jilin University (Engineering and Technology Edition), 2015, 45(2): 658-662.

DOI：10.13229/j.cnki.jdxbgxb201502048

• Distributed estimation
• Distributed fusion
• Distributed tracking
• Extended information filter
• Information processing technology
• Kalman consensus filters
• Unscented information filters
• Unscented transformations

A distributed tracking and fusion algorithm based on Unscented information filter is proposed for nonlinear target tracking in wireless sensor networks. In this algorithm, the unscented transformation is combined with extended information filter to handle the nonlinearity of the target motion and measurement in the framework of information filtering. The Kalman consensus filter is used as distributed fusion structure to combine the estimate of each local sensor node in the sensor networks with constrained topology and limited bandwidth. The efficiency and the superiority of the proposed algorithm are demonstrated by simulation results.

• 出版日期2015