无序量测问题研究综述  

Research survey of out-of-sequence measurement issue

作　　者：吴卫华[1] 江晶[1] 

机构地区：[1]空军预警学院,湖北武汉430019

出　　处：《传感器与微系统》2014年第12期5-9,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61102168);空装重点资助项目

摘　　要：无序量测(OoSM)是多传感器融合系统亟需解决的不可回避的问题。在总结相关文献基础上,对OoSM进行了分类,从单步延时OoSM滤波、多步延时OoSM滤波、多个OoSM滤波、非线性非高斯条件OoSM粒子滤波算法、杂波/机动目标条件OoSM跟踪算法等方面,按照由简单到复杂的研究路线综述了国外开展的相关研究,并对未来研究方向进行了探讨与展望。Out-of-sequence measuremer＇（OoSM） is an inevitable and desiderate problem for multisensor fusion system. Based on summarization of some associated publications, OoSM are categorized, associated foreign studies are surveyed according to research route from simpleness to complexity from such below aspects as filtering with single step lag OoSM, multiple step lag OoSM or multiple OoSMs, and OoSM particle filtering（PF） algorithm under nonlinear and non-Gaussian conditions, and tracking with OoSM in presence of clutter/maneuvering targets and so on, and future research directions are discussed and prospected in the end.

关 键 词：无序量测更新 粒子滤波 无序量测跟踪 多传感器信息融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN953[自动化与计算机技术—计算机科学与技术]