摘要
在小子样理论中,验前分布的获取与表示是一个关键问题。针对捷联惯性测量组合(捷联惯组)历次测试数据验前分布的获取问题,探讨了在异总体情况下,多种验前信息的融合问题。提出了通过随机加权中心融合法实现多种异源信息融合,以获取捷联惯组历次测试数据验前分布,从而减小了小样本情况下的统计分析误差。
How to get proper prior distribution is a key problem in Bayesian analysis about small sample. Aiming at the problem that how to get the prior distribution of strapdown inertial measurement unit （SIMU） successive test data, the fusion of multiple prior information is discussed in the case of hetero -populations. Random weighting center method is used to achieve the fusion of multiple - hetero - population prior information in order to get prior distribution of SIMU successive test data. h can reduce the error of statistical analysis under the condition of small sample.
出处
《航天控制》
CSCD
北大核心
2006年第5期82-85,共4页
Aerospace Control
关键词
捷联惯组
历次测试数据
验前分布
验后分布
随机加权中心融合
小样本
SIMU Successive test data Prior distribution Posterior distribution Random weighting center fusion Small sample
