摘要
以微机电陀螺在高精度光电稳定跟踪装置中的应用为背景,研究了陀螺输出噪声对光电稳定跟踪平台精度的影响。结果表明,陀螺噪声会引起平台基准轴的抖动和缓慢漂移。根据微机电陀螺的实测数据,分析了其噪声特性。基于AR模型建立了微机电陀螺的噪声统计模型。研究了基于Kalman滤波的陀螺去噪算法,给出了去噪结果,分析了该算法不能够取得较好滤波效果的原因。针对Kalman滤波在微机电陀螺信号低频去噪方面的局限性,将基于阈值决策的小波去噪方法应用于微机电陀螺的信号处理中,给出了滤波结果。实测结果表明由于后者不依赖于噪声的精确模型,可根据噪声在不同频段的统计特性采用阈值决策滤波,具有更好的抑噪效果。最后给出了两种滤波算法的比较。
Aiming at the MEMS gyros used widely in the high accuracy electrol-optical （E-O） stabilization and tracking devices, the impact of gyro noise on the EO platform precision was studied. The analyzing result indicates that the gyro noise would cause the jitter of the Line of Sight （LOS） arid slow drift on angle. Therefore, it is necessary to propose an effective filter method for restraining the gyro noise to obtain higher LOS stabilization precision. In this paper, the noise features were analyzed and the AR model of MEMS gyros was developed. By the Kalman filter method to denoise the signal of gyros primarily, the simulation results show that this method couldn＇t achieve good performance. Following that, the threshold filter method according to the wavelet was researched, and the simula tion data reveal its perfect performance on the denoising. Finally, the comparisons on relative merits between these two denoise methods were given.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2006年第4期689-696,共8页
Optics and Precision Engineering
基金
十五国防预研基金(No.18YXGFKD118)
关键词
光电稳定跟踪装置
微机电陀螺
噪声
谱密度
AR模型
卡尔曼滤波
小波变换
阈值决策
E-O stabilization and tracking devices
MEMS gyro
noise
Power Spectral Density （PSD）
AR model
Kalman filter
wavelet transform
threshold
