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SINS/GPS/BD2/DVL船舶组合导航联邦滤波算法研究
引用本文:王鹏,杨奕飞.SINS/GPS/BD2/DVL船舶组合导航联邦滤波算法研究[J].科学技术与工程,2014,14(9).
作者姓名:王鹏  杨奕飞
作者单位:江苏科技大学,江苏科技大学
基金项目:江苏省产学研联合创新资金—前瞻性联合研究项目 项目编号:BY2013066-01
摘    要:针对于船舶在长期高速度航行的过程中,捷联惯性导航SINS存在着误差积累,GPS和北斗导航容易受环境干扰,从而不能满足长期高精度导航定位需要,提出了 SINS/GPS/BD2/DVL 组合导航联邦滤波算法。建立了SINS、GPS、BD2、DVL的误差模型,研究了滤波器的组合形式,并详细阐述了联邦滤波器的算法。仿真结果验证了该组合导航方案的可行性和算法的有效性,具有重要的工程应用价值。

关 键 词:    词:多传感器  组合导航  信息融合  联邦滤波  
收稿时间:2013/10/7 0:00:00
修稿时间:2013/11/7 0:00:00

Research of Ship Integrated Navigation federal Filter Based on SINS/GPS/BD2/DVL
WANGPeng and YANG Yi-fei.Research of Ship Integrated Navigation federal Filter Based on SINS/GPS/BD2/DVL[J].Science Technology and Engineering,2014,14(9).
Authors:WANGPeng and YANG Yi-fei
Abstract:The warship navigation system applied in our project need to be of high precision.,SINS exists error accumulation and GPS or BeidouII navigation vulnerable to environmental interference, which can not meet the long-precision navigation and positioning needs, proposed SINS/GPS/BD2/DVL portfolio navigation federal filtering algorithm. First established SINS, GPS, BD2, DVL error model to study the filter combinations, and elaborates on the federal filter algorithm. Simulation results demonstrate the feasibility of the integrated navigation and the algorithm has important value in engineering applications.
Keywords:Multi-sensor    integrated navigation    information fusion    federated filter
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