基于IMM-CSRF的多平台机动目标被动跟踪方法

摘要

针对仅有角度测量信息条件下,单平台的机动目标被动跟踪存在固有的强非线性和弱可观测性问题,研究多平台融合机动目标被动跟踪技术,提出了集中式漂移瑞利滤波器(centralized shifted Rayleigh filter,CSRF)来解决多平台目标被动跟踪问题,进一步提出并推导了基于交互式多模型的集中式漂移瑞利滤波器(interacting multiple model centralized shifted Rayleigh fliter,IMM-CSRF),实现对机动目标的被动跟踪.仿真实验表明,该算法跟踪精度高,稳定性好,具有良好的实际应用价值.%To overcome the strongly nonlinear and weak observable problems existing in single-platform bearings-only maneuvering target tracking, the multi-platform bearings-only maneuvering target tracking algorithms are studied in this paper. A centralized shifted Rayleigh filter (CSRF) is proposed to apply to multi-plat-form bearings-only target tracking; further an interacting multiple model centralized shifted Rayleigh filter (IMM-CSRF) is proposed and derived to track a maneuvering target. The simulation results show that this method has a high tracking accuracy and good stability and has very powerful practical application value.