摘要
光纤陀螺作为敏感角速度信息的元件对其精度要求较高,仅在硬件方面提高它的精度会极大的增加成本,工程应用中不经济,而从软件设计对光纤陀螺信号进行处理以提高精度便显得尤为重要。小波分析作为一种新型时频共域滤波器,处理二维信号取得了很大的进展,而在实时处理时间信号领域成果相对较少,为此,介绍了小波分析理论并提出了小波分析对光纤陀螺信号实时处理的工程应用方法。
As a rotational sensor, Fiber Optical Gyroscope （FOG） should have higher accuracy. However, only enhancing its performance in hardware will increase the cost and is not economic in engineering application. It is important to improve the performance of FOG by processing the signal of FOG in software design. As a novel filter, the wavelet is applied in two dimension signal processing widely; however, there are few methods about the wavelet applied in real-time signal procession. According to the theory of wavelet analysis presented in this paper, an engineering application method was proposed which using wavelet analysis to real-time process the signal of FOG. Experiment results show that the accuracy of calculation with data processed by wavelet analysis is much higher than only original data.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2007年第5期121-125,共5页
Opto-Electronic Engineering
关键词
小波分析
MALLAT算法
光纤陀螺
信号处理
Wavelet analysis
Algorithm of Mallat
Fiber Optical gyroscope （FOG）
Signal processing
