基于IMM-CSRF的多平台机动目标被动跟踪方法  

Multi-platform bearings-only passive tracking of maneuvering targets based on IMM-CSRF

作　　者：刘梅[1] 陈锦海[1] 高扬[2] 王骏[2] 林超[1] 张声杰[1] 

机构地区：[1]哈尔滨工业大学电子与信息工程学院,黑龙江哈尔滨150001 [2]中国电子科技集团公司第二十九研究所,四川成都610036

出　　处：《系统工程与电子技术》2011年第1期1-7,共7页Systems Engineering and Electronics

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 filter,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-platform 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.

关 键 词：角度跟踪 机动目标 集中式融合 交互式多模型 漂移瑞利滤波器 

分 类 号：TN953[电子电信—信号与信息处理] TN97[电子电信—信息与通信工程]