摘要
为减小光纤陀螺输出信号噪声、提高惯导系统精度，提出了光纤陀螺信号自适应时频峰值滤波算法。对光纤陀螺信号进行初始变换并调制，采用伪 Wigner-Ville 分布对调制信号进行时频分析，给出了一种自适应的伪 Wigner-Ville 分布最优窗长获取准则，通过局部峰值搜索实现编码信号的瞬时频率估计进而还原出有用信号，实现了光纤陀螺噪声的去除。详细对比了小波方法与自适应时频峰值滤波算法并分析了两者的去噪效果。仿真结果和实际数据验证表明：自适应时频峰值滤波算法能有效减小光纤陀螺输出噪声，信噪比比小波滤波改善1~3 dB；特别对于高动态信号，该算法滤波后的信号能够有效地跟踪原始信号。
An algorithm based on adaptive time-frequency peak filtering(ATFPF) for fiber optical gyro(FOG) is proposed to reduce the noise of FOG and improve the precision of the inertial navigation system. With the presented algorithm, the FOG signal is transformed and modulated, and then time frequency analysis of the modulated signal is made by pseudo Wigner-Ville distribution(PWVD). A rule for the optimal window length selection of adaptive PWVD is given, and the instantaneous frequency of the coded signal is estimated by local peak search. In this way, the useful signal is restored and the noise of FOG is reduced. Simulation and real data are processed by discrete wavelet transform(DWT) and ATFPF algorithms separately, and the results show that proposed algorithm can reduce the noise of FOG effectively, and the improvement of SNR is 1~3 dB. The signal denoised by ATFPF can effectively track the initial signal, especially for the high dynamic signal.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2014年第3期391-395,420,共6页
Journal of Chinese Inertial Technology
基金
国家自然科学基金(61104188
61374115
61328301)
江苏省高校优势学科建设工程项目的支持
