A novel particle filter for extended target tracking with random hypersurface model

作者：

Highlights：

• A simplified form of existing approximated likelihood function is given.

• A novel explicit expression of logarithm of likelihood function is proposed.

• It deals directly with the distribution of the scaling factor.

• A feasible weighting scheme is designed.

摘要

•A simplified form of existing approximated likelihood function is given.•A novel explicit expression of logarithm of likelihood function is proposed.•It deals directly with the distribution of the scaling factor.•A feasible weighting scheme is designed.

论文关键词：Extended target tracking,Particle filter,Random hypersurface model,Importance weights

论文评审过程：Received 24 May 2021, Revised 3 March 2022, Accepted 7 March 2022, Available online 24 March 2022, Version of Record 24 March 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127081