摘要
光纤陀螺作为导航系统的核心元件之一,输出精度直接影响惯导系统的性能。由于系统中噪声信号最为严重,往往会将有用信号淹没,使陀螺测量精度大大降低。针对上述问题,以某型闭环光纤陀螺原始输出为研究对象,提出了一种新的小波阈值降噪法,构造了一种新的小波阈值降噪函数。改进后的小波阈值函数,阈值随小波分解尺度的变化而变化,可自动调节小波系数的收缩程度。实验及数据处理结果表明,与传统的硬阈值、软阈值降噪法相比,新方法可有效提高高频噪声中有用信号的利用率,提高信号的信噪比,降低均方差,具有较好的降噪效果,为导航精度优化提供了参考。
This paper proposes a new threshold de - noising method for a closed - loop fiber optic gyro, and constructs a new wavelet threshold de - noising function. The threshold of the improved wavelet threshold function can change with the change of the wavelet resolution scale, and the improved wavelet threshold can automatically adjust the compression level of wavelet coefficients. The text and data processing results show that, compared with the fixed threshold, the proposed wavelet threshold can improve the utilization rate of useful signal in the high frequency noise and the signal- tonoise ratio, reduce the mean square error, and have good noise reduction effect.
出处
《计算机仿真》
CSCD
北大核心
2015年第10期113-116,373,共5页
Computer Simulation
关键词
小波阈值
光纤陀螺
数据处理
Wavelet threshold
Fiber optic gyro
Data preprocessing