基于交互多模型的水下目标跟踪方法(英文)

• 作 者: 徐卫明 刘雁春 殷晓东
• 机 构: Department of Electronic Engineering, Tsinghua University,Qinghuayuan, Beijing 10084, China,Departme
• 出 处: Geo-Spatial Information Science
• 发表日期: 2008年03期
• 关键词: underwater 交互多模型 目标跟踪方法 interacting conveniently coordinates inference coordinat

According to the requirements of real-time performance and reliability in underwater maneuvering tar-get tracking as well as clarifying motion features of the underwater target, an interacting multiple model algorithm based on fuzzy logic inference (FIMM) is proposed. Maneuvering patterns of the target are represented by model sets, including the constant velocity model (CA), the Singer model, and the nearly constant speed horizontal-turn model (HT) in FIMM technology. The simulation results show that compared to conventional IMM, the reliability and real-time performance of underwater target tracking can be improved by FIMM algorithm.

According to the requirements of real-time performance and reliability in underwater maneuvering tar-get tracking as well as clarifying motion features of the underwater target, an interacting multiple model algorithm based on fuzzy logic inference (FIMM) is proposed. Maneuvering patterns of the target including the constant velocity model (CA), the Singer model, and the nearly constant speed horizontal-turn model (HT) in FIMM technology. The simulation results show that compared to conventional IMM, the reliability and real- time performance of underwater target tracking can be improved by FIMM algorithm.