小波包阈值降噪法处理光纤陀螺信号

摘要

The output signal of fiber optic gyro (FOG) can easily generate random noise because of its structure and the external environment impact.The wavelet packet threshold algorithm can be used to deal with the signal of FOG.Decomposing the signal of FOG by the four-layer wavelet packet based on analyzing the wavelet packet decomposition and reconstitution theory and the mathematics model of the output data of FOG.The decomposition coefficients of every node which are less than the threshold can be set to zero through threshold method, and the coefficients of every node can be reconstructed to eliminate the noise.The results of simulation example prove that the wavelet packet threshold method is batter than the wavelet hard-threshold and soft-threshold in processing the signal of FOG.%光纤陀螺以其自身结构和外部环境的影响容易在输出信号中产生随机噪声.为了消除光纤陀螺输出数据中的随机噪声,提出了用小波包阈值法来处理陀螺信号.在分析小波包变换理论及其分解重构算法的基础上,结合光纤陀螺输出数据的数学模型,对光纤陀螺随机信号进行四层小波包分解.通过阈值法对分解得到的各个节点分解系数中小于阈值的部分置零,利用处理过的节点系数进行重构以消除重构陀螺信号中的噪声.仿真实验结果表明,小波包阈值法比小波软硬阈值法在处理光纤陀螺信号中的效果更好,信噪比更高.