A robust smoothing filter algorithm for de-noising of fiber optic gyroscope

被引：0
|
作者：
Xiao W. [1 ]
Ma D. [1 ]
Chen Z. [1 ]
Liu X. [1 ]
Xiao C. [1 ]
机构：
[1] Ordnance Technology Institute, Ordnance Engineering College, Shijiazhuang
来源：
| 2016年 / Chinese Society of Astronautics卷 / 45期
关键词：
Discrete cosine transform; Fiber optic gyroscopes; Iteratively weighted; Robust smoothing filter;
D O I：
10.3788/IRLA201645.0617005
中图分类号：
学科分类号：
摘要：
In order to reduce the random noise of fiber optic gyroscope (FOG) and eliminate the disturbance from singular sampled signal, a robust smoothing filtering algorithm was proposed. Each sampled data of FOG were iteratively weighted by weighting function with giving outliers a low weight and allocating a relatively high weight to high quality data. Then the robustness of smoothing filter can be improved evidently. The operation speed of smoothing filtering algorithm is increased effectively by generalized cross validation (GCV) and discrete cosine transform (DCT). Simulation and practicable test results show that the proposed algorithm can restrain the interference by singular sampled signal or random noise of FOG and has better signal tracking capability. © 2016, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
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页数：7
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