| 一种新的姿态仪表优化估计算法 |
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| 引用本文： | 傅建国,王孝通,马野,金良安.一种新的姿态仪表优化估计算法[J].仪器仪表学报,2005,26(10):1067-1070. |
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| 作者姓名： | 傅建国 王孝通 马野 金良安 |
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| 作者单位： | 海军大连舰艇学院航海系,大连,116018 |
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| 基金项目： | 军队武器装备科研(H1022003166)资助项目 |
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| 摘 要： | 针对利用地球重力场和磁场矢量观测进行自主姿态测量的姿态仪表现有算法的不足,提出了一种新的优化递推估计算法:采用卡尔曼滤波框架,利用加权统计线性回归技术进行测量更新,在相同条件下,可将测量精度提高一倍,并能同步提供姿态速率信息。仿真结果表明了该算法的有效性和合理性。
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| 关 键 词： | 姿态测量 姿态速率 卡尔曼滤波 加权统计线性回归 |
| 修稿时间： | 2004年2月1日 |
A Novel Autonomous Attitude and Attitude-rate Estimation Algorithm |
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| Fu Jianguo,Wang Xiaotong,Ma Ye,Jin Liang'an.A Novel Autonomous Attitude and Attitude-rate Estimation Algorithm[J].Chinese Journal of Scientific Instrument,2005,26(10):1067-1070. |
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| Authors: | Fu Jianguo Wang Xiaotong Ma Ye Jin Liang'an |
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| Abstract: | A novel recursive optimal attitude and attitude-rate estimation algorithm using gravitational field and geomagnetic field observation is proposed.The algorithm is in the Kalman filter framework and employs weighted statistical linear regression to finish the measurement update.The simulation results show that the presented method would obviously improve the measuring precision and synchronously provide attitude-rate information. |
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| Keywords: | Attitude determination Attitude-rate Kalman filter Weighted statistical linear regression |
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