1 Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
2 Sichuan Branch, China Unicom Network Communications Co., Ltd, Chengdu 610041, China
3 Wuhan Aroptics-Tech Co., LTD, Wuhan 430074, China
optical communication separate absorption grading, charge, and multiplication avalanche phot dead space effect temperature coefficient Frontiers of Optoelectronics
2018, 11(4): 400–406
针对标准Kalman滤波需要建立准确的系统模型、小波阈值降噪对小波基和阈值的选取依赖于经验的不足,将局域均值分解(LMD)方法引入MEMS陀螺的随机误差滤波。该方法可自适应地将随机误差信号分解为若干PF分量之和,且对各分量进行小波降噪处理,将处理后的各分量相加得到降噪信号。实验分析表明该滤波方法效果明显。
MEMS陀螺 局域均值分解 小波去噪 MEMS gyro local mean decomposition wavelet denoising