无序量测问题研究综述

Research survey of out-of-sequence measurement issue

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.