Research on MEMS Gyro Random Drift Restraining based on Simplified Sage-Husa Adaptive Filter Algorithm

摘要：

The various random noises in MEMS gyro are the main factor affecting the accuracy. In accordance with the property of its noise, traditional filtering has many shortages. If so, a simplified Sage-Husa adaptive filter algorithm is discussed. The algorithm can estimate the system process noise accurately when observation noise is known. The paper sets up ARMA model of MEMS gyro random error and processes the drift data by the filtering. The result shows that the random noise is reduce by 70％.

关键词： Sage-Husa adaptive filter ARMA model MEMS gyro random drift

作者: Xiong Cai Anping Qiu Weixing Qian Qin Shi

作者单位: Nanjing University of Science and Technology Nanjing, China

会议类型: 国际会议

会议名称: 2010 6th International Conference on MENS NANO,and Smart System(2010年微机电纳米、智能系统国际会议 ICMENS 2010)

会议地点: 长沙

会议语种:英文

页码: 58-61

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）