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导航计算机对光纤陀螺(FOG)测量数据的异步重采样将引起数据的频谱混叠误差。基于FOG信号检测特点,以FOG闭环输出数据更新率、惯性测量单元(IMU)异步通信定时脉冲频率为参量,以载体的正弦干扰频率为变量,以导航计算机接收信号直流(DC)分量的幅值误差抑制为目标,建立了仿真模型。分析了现有内插抽取方案和滑动滤波方案的数据频混误差及延时特性。提出了类盲发变滑窗长度方案,抑制了频混误差响应谱对滑窗长度的敏感性。仿真结果表明,相比滑窗长度偏离最优值4%的滑动滤波方案,变滑窗长度方案的误差最大值从0.056 85降至0.009 737,能更好地适应定时脉冲信号频率抖动或切换的工程应用需求。
Asynchronous re-sampling of the FOG measurement data by the navigation computer will cause spectral aliasing errors of the data. Based on the characteristics of FOG signal detection, the FOG closed-loop output data update rate, inertial measurement unit (IMU) asynchronous communication timing pulse frequency were used as parameters, the carrier’s sinusoidal interference frequency was taken as a variable, Error suppression as the goal, the establishment of a simulation model. The error of data frequency mixing and delay characteristics of the existing interpolation scheme and the sliding filtering scheme are analyzed. The blind variable-length sliding window length scheme is proposed, which suppresses the sensitivity of frequency-mixed error response spectrum to sliding window length. The simulation results show that the maximum error of the sliding window length scheme is reduced from 0.056 85 to 0.009 737 compared with the slip filtering scheme whose sliding window length deviates from the optimal value by 4%, which can better adapt to the frequency jitter or switching of the timing pulse signal Engineering application requirements.