1) Gyroscopic drift prediction
陀螺仪漂移预测
1.
As single model is not suitable for Gyroscopic drift prediction because gyroscopic drift is influenced by different environment factors, and contains complex frequency characteristic.
研究MRA(Multi-resolution Analysis MRA)与GP/MP(Grey prediction model/Markov prediction model)组合预测及在陀螺仪漂移预测中的应用。
3) gyro drift
陀螺仪漂移
1.
The outlier signal from the MEMS gyro drift could be got rid of effectively by uniting the mean filter and the median filter.
通过中值滤波和均值滤波的有机结合,可以去除MEMS陀螺仪漂移中的"野点"信号。
2.
Existing closed-loop methods for measuring gyro drift can not meet the precision and speed requirements needed for initial alignment of INS (inertial navigation system).
惯导对准过程中陀螺仪漂移率的测量是一个重要的工程实际问题 ,经典的闭环测量在测量精度和快速性等方面存在缺点。
4) gyroscopic drift
陀螺仪漂移
1.
The trained immune neural network is used to forecast gyroscopic drift.
针对上述缺点,该文提出了一种基于免疫算法的神经网络,以样本输出为抗原、神经网络权值矩阵为抗体,通过克隆、变异、抑制等步骤找到最优抗体,将最优抗体用于陀螺仪漂移预测。
5) Fiber Optical Gyroscope's drift (FOG's drift)
光纤陀螺仪漂移
6) gyro drift test
陀螺漂移测试
补充资料：JT-15陀螺经纬仪
JT-15陀螺经纬仪
JT 15陀螺经纬仪
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条