摘要
采用低成本的压电陀螺和加速度计,运用高精度模/数转换模块和高性能数字信号处理器(DSP),在嵌入式系统内对传感器数据进行了采集和数据优化处理;运用基于快速小波变换的低阶卡尔曼滤波算法和多传感器数据动态融合算法对姿态测量数据进行了处理,优化了姿态角测量数据,为后续姿态测量精度的提高提供了基础。
The sensors' output datum are collected and optimized in the embedded system by adopting the low cost piezoelectric gyroscopes and accelerometers are adopted and the high precision A/D converter chip and the high performance DSP are used. The measured attitude data is optimized by the Kalman filter algorithm based on the fast wavelet transform and the multisensor data fusion technology. All these works optimize the attitude measurement data and lay a foundation for the following design to enhance the attitude measurement accuracy.
出处
《压电与声光》
CAS
CSCD
北大核心
2007年第5期596-599,共4页
Piezoelectrics & Acoustooptics
基金
国家"八六三"重大基金资助项目(2005AA123730)
重庆邮电大学青年基金资助项目(2004-023A)
关键词
压电陀螺
惯性测量单元
滤波
数据优化
piezoelectric gyroscope
inertial measurement unit
filter, data optimization