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Unscented Kalman Filter for Autonomous Warship Attitude Determination
作者姓名:傅建国  王孝通  金良安  马野
作者单位:DepartmentofNavigation,DalianNavalAcademy,DalianLiaoning116018,China
摘    要:To address a problem of autonomous attitude determination algorithm using gravitational field and geomagnetic field observation, a new recursive optimization autonomous attitude estimation algorithm is proposed. The algorithm is based on unscented Kalman fiher(UKF), and can synchronously provide the attitude rate information. The simulated results show that the measurement precision of the method could be increased by 2 times compared to that of the common methods.

关 键 词:卡尔曼滤波  战舰设计  非线性估计  姿态确定

Unscented Kalman Filter for Autonomous Warship Attitude Determination
FU Jian-guo,WANG Xiao-tong,JIN Lian-gan,MA Ye.Unscented Kalman Filter for Autonomous Warship Attitude Determination[J].Journal of China Ordnance,2005,1(1):83-86.
Authors:FU Jian-guo  WANG Xiao-tong  JIN Lian-gan  MA Ye
Abstract:To address a problem of autonomous attitude determination algorithm using gravitational field and geomagnetic field observation, a new recursive optimization autonomous attitude estimation algorithm is proposed. The algorithm is based on unscented Kalman filter(UKF), and can synchronously provide the attitude rate information. The simulated results show that the measurement precision of the method could be increased by 2 times compared to that of the common methods.
Keywords:navigation  attitude determination  nonlinear estimation  warship  Attitude Determination  Warship  Autonomous  Kalman Filter  simulated  results  show  measurement  precision  methods  increased  times  common  rate  information  based  unscented Kalman filter  recursive  optimization  attitude
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