基于贝叶斯方法的捷联惯性测量组合历次测试数据分布研究

Study of Successive Test Data Distribution of the Strapdown Inertial Measurement Unit Based on the Bayesian Method

针对捷联惯性测量组合(捷联惯组)历次测试数据小样本的问题,提出了通过Bayes方法研究捷联惯组历次测试数据的统计特性。通过Bayes方法,利用先验信息、总体信息和样本信息得到捷联惯组历次测试数据的验前分布和验后分布,将统计推断建立在验后分布基础之上,减小了小样本情况下的统计分析误差。

Aiming at the small sample of strapdown inertial measurement unit （SIMU） successive test data, a Bayesian method was used to study its statistical characteristics. Prior and posterior distribution of SIMU successive test data was set up by the method and the information of pretest, sample and population. Some statistical inferences can be made with the posterior distribution. It can reduce the error of statistical analysis in the ease of small samples.