CAJ | 학술논문

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。
위감소광섬타라수출신호조성、제고관도계통정도，제출료광섬타라신호자괄응시빈봉치려파산법。대광섬타라신호진행초시변환병조제，채용위 Wigner-Ville 분포대조제신호진행시빈분석，급출료일충자괄응적위 Wigner-Ville 분포최우창장획취준칙，통과국부봉치수색실현편마신호적순시빈솔고계진이환원출유용신호，실현료광섬타라조성적거제。상세대비료소파방법여자괄응시빈봉치려파산법병분석료량자적거조효과。방진결과화실제수거험증표명：자괄응시빈봉치려파산법능유효감소광섬타라수출조성，신조비비소파려파개선1~3 dB；특별대우고동태신호，해산법려파후적신호능구유효지근종원시신호。
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.