给出了一个形式简洁的方位随时间线性变化的可量测函数，并利用工作点漂移的技术解决了滤波器在方位小变化量时系统的不稳定现象。
In this paper, a linear function of bearing variation versus time is given, and the method of work-point drifting are used to solve filter system which is unstable in bearing small change.
利用最佳双边指数滤波器，输入信号（记录）进行滤被面得出各测线上金的信号输出模塑。
The input (record) is filtered by the application of an optimum bilateral exponential filter, and the output model of gold signal for each line is produced.
将健康参数作为增广的状态变量，设计了卡尔曼滤波器，从而可以根据可测参数的偏离量估计得到健康参数。
By taking health parameters as augmented state variables, a Kalman filter was then designed to predict the health parameters from the deviation of measurable parameters.
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