提出了应用近似非线性滤波技术，辨识陀螺漂移误差模型的方法。
This paper presents the application of an approximate nonlinear filter in the identification of gyro drift error model.
为了提高陀螺仪的测量精度，基于神经网络代数算法提出一种新的非线性误差补偿模型。
To improve measurement precision of gyroscope, a novel nonlinear error compensation model is proposed using an algebra algorithm of neural networks.
对静电陀螺仪实验数据分析结果表明，文中提出的方法完全能满足高精度陀螺仪漂移误差模型的建模要求。
The results from experimental data analysis of electrical suspended gyro show that the methods developed in this paper can fully satisfy the drift error modelling requirements of high quality gyros.
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