中国空间科学技术2011，Vol.31Issue(3)：14-19,42,7.DOI:10.3780/j.issn.1000-758X.2011.03.003
基于URTS平滑建议分布函数的PF算法设计及应用
Design and Application of Particle Filtering Algorithm Based on URTS Smoothing Proposal Distribution Function
摘要
Abstract
To improve the state estimate performance of the particle filtering with the Unscented Kalman filtering proposal distribution function, the Unscented Kalman filtering and the Rauch-Tung-Striebel (RTS) fixed interval smoothing algorithm were integrated, and a new kind of proposal distribution function named as Unscented RTS smoothing proposal distribution function was designed.The Unscented RTS smoothing distribution implements the Unscented Kalman filtering, and then carries out the RTS fixed-interval smoothing to produce a prediction sample.The accuracy of prediction particles is greatly improved by the new proposal distribution function,and the state estimation accuracy of the corresponding particle filtering method (PF-URTS) is also improved.The applications of the new particle filtering algorithm to the OPS/DR integrated navigation system will prove the feasibility and validity of the proposed method.关键词
粒子滤波/建议分布函数/航位推算/全球定位系统Key words
Particle filtering/ Proposal distribution function/ Dead Reckoning/ Global positioning systems引用本文复制引用
李保利,宫轶松,归庆明..基于URTS平滑建议分布函数的PF算法设计及应用[J].中国空间科学技术,2011,31(3):14-19,42,7.基金项目
国家自然科学基金项目(40974009,10903032),中国卫星导航学术年会青年优秀论文获奖者资助课题 （40974009,10903032）
