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本文对一个两自由度液浮陀螺以等时间间隔抽样取得的绕水平轴和方位轴的随机漂移率数据各601个,进行丁处理和分析,并对它们的数学模型作了初步的识别.分析结果表明:a.陀螺随机漂移率的自相关函数是由非平稳的斜坡函数和平稳的马尔柯夫过程组合而成.b.一次差分后的陀螺随机漂移数据是正态分布的.它们可以分成两部分:一部分是平稳的随机过程,而另一部分是由随机游动及滑落所组成的非平稳过程.
In this paper, a random two-degree-of-freedom liquid floating gyroscope was sampled at equal time intervals around the horizontal axis and the azimuth axis of the random drift rate data of 601, the small processing and analysis, and their mathematical model made a preliminary identification. The results show that: a. The autocorrelation function of gyroscope's random drift rate is composed of the non-stationary ramp function and the stationary Markov process. B. The gyroscopic random drift data after a difference are normal distribution. They can be divided into Two parts: one part is a steady stochastic process, and the other part is a non-stationary process composed of random walks and slips.