【摘要】：為減小光纖陀螺輸出信號噪聲、提高慣導系統(tǒng)精度,提出了光纖陀螺信號自適應時頻峰值濾波算法。對光纖陀螺信號進行初始變換并調制,采用偽Wigner-Ville分布對調制信號進行時頻分析,給出了一種自適應的偽Wigner-Ville分布最優(yōu)窗長獲取準則,通過局部峰值搜索實現(xiàn)編碼信號的瞬時頻率估計進而還原出有用信號,實現(xiàn)了光纖陀螺噪聲的去除。詳細對比了小波方法與自適應時頻峰值濾波算法并分析了兩者的去噪效果。仿真結果和實際數(shù)據(jù)驗證表明:自適應時頻峰值濾波算法能有效減小光纖陀螺輸出噪聲,信噪比比小波濾波改善1~3 dB;特別對于高動態(tài)信號,該算法濾波后的信號能夠有效地跟蹤原始信號。
[Abstract]:In order to reduce the noise of fiber optic gyroscope output signal and improve the accuracy of inertial navigation system, an adaptive time-frequency peak filtering algorithm for fiber optic gyroscope signal is proposed. The fiber optic gyroscope (fog) signal is initially transformed and moduled. the time-frequency analysis of the modulation signal is carried out by using the pseudo-Wigner-Ville distribution, and an adaptive criterion for obtaining the optimal window length of the pseudo-Wigner-Ville distribution is given. The instantaneous frequency estimation of the encoded signal is realized by local peak search, and then the useful signal is reduced, and the noise removal of fiber optic gyroscope is realized. The wavelet method and adaptive time-frequency peak filtering algorithm are compared in detail, and the denoising effect of wavelet method and adaptive time-frequency peak filtering algorithm is analyzed. The simulation results and practical data verify that the adaptive time-frequency peak filtering algorithm can effectively reduce the output noise of fiber optic gyroscope, and the signal-to-noise ratio wavelet filtering can improve the signal-to-noise ratio by 1 鈮，

本文編號：2493419