Application of LMS adaptive filtering algorithm in FOG data processing

作者：Wang, Li Hui^*; Sun, Feng; Ji, Qiang; Hao, Yan Ling

来源：Systems Engineering and Electronics, 2010, 32(5): 1047-1050.

DOI：10.3969/j.issn.1001-506X.2010.05.036

• Adaptive filtering algorithms
• Allan variance
• Bias stability
• Fiber optic gyroscopes
• Least mean square algorithms
• Output data
• Random noise
• Variable step-size LMS

Aimed at the problem of random noises in the output of data of fiber optic gyroscope (FOG), the variable step size LMS (VLMS) adaptive filtering algorithm is applied to FOG data processing. A VLMS filter is constructed on the basis of the characteristics of FOG data, which can pretreat the FOG data in real time and adjust its parameters automatically. The FOG's performance of bias stability (BS) and angle random walk (ARW) is enhanced by using the VLMS filter. The allan variance analysis of the pre-and post-filtered FOG data shows that the VLMS algorithm is effective in disposing FOG output data, it can be used in optimizing the characteristic indexes of FOG BS by 0.019°/h and ARW by 0.0015°/h1/2.

• 出版日期2010
• 单位中国航空工业集团公司沈阳飞机设计研究所