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基于SUKF滤波的INS/DVL组合导航研究 被引量:1

INS/DVL Integrated Navigation Based on the Scaled UKF
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摘要 惯性导航系统(INS)长时间自主工作存在误差积累,采用INS与多普勒速度计程仪(DVL)组合的方案导航。针对组合导航系统状态维数较高,采用算法实现和估计精度优于传统扩展卡尔曼滤波的尺度变换模式的UKF(SUKF)方法。仿真结果表明,采用SUKF滤波方法实现INS/DVL组合导航是可行的。 This paper introduces the application of INS/DVL integrated navigation technology. The Scaled UKF (SUKF) is superior to the EKF in algorithm coding and estimation precision. It is a good method to deal with the state with high dimension. The simulation results show that the method with SUKF of INS/DVL integrated navigation is feasible
出处 《中国舰船研究》 2008年第6期57-60,共4页 Chinese Journal of Ship Research
基金 国家自然科学基金资助(40376011)
关键词 惯性导航系统(INS) 多普勒速度计程仪(DVL) 仿真 inertial navigation system (INS) doppler velocity log (DVL) simulation
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