Frequency characteristics calculation of the digital closed loop FOG was conducted based on error analysis between the transfer function and the model.
分析传递函数与FOG模型的误差，得出数字闭环FOG频率特性的计算方法。
A cost function is presented, and by applying Gaussian-Newton type recursive prediction error based method, a stable and efficient online frequency estimation algorithm is derived.
在此基础上，建立了最小方差损失函数，并结合高斯·牛顿预测误差方法，提出了稳定的，高性能的，在线的复频率直接估计算法。
A closed-form solution for filter coefficients is obtained by minimizing the frequency-domain squared-error function and revealing some properties of the matrices related to the design problem.
通过最小化频域平方误差函数并揭示与设计问题有关的一些矩阵的性质，得到了滤波器系数的闭式解。
The result was showed that the model could not only fit function, but also predict the present frequency according to the past data when some error data exited.
结果表明该模型不仅能拟合函数，而且可在存在野值时，根据以往的数据预测目前的频率。
By fulfilling the experiment, some very good frequency spectrum images are obtained, and the system's relative error is below 0.08 %, so its function of locating and monitoring can be realized.
实验获得了清晰的频谱图像，系统定位的相对误差小于0.08%，可实现定位监测功能。
A window function which has a flat top in frequency domain is designed to correct the amplitude error caused by Picket_Fence effect.
并从减小栅栏效应带来的幅值估计误差的角度，设计了一个具有平顶窗谱的窗函数，分析对比了它和矩形窗函数的性能差异。
A window function which has a flat top in frequency domain is designed to correct the amplitude error caused by Picket_Fence effect.
并从减小栅栏效应带来的幅值估计误差的角度，设计了一个具有平顶窗谱的窗函数，分析对比了它和矩形窗函数的性能差异。
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