摘要
研究在验前信息贫乏的情况下,使用异源验前信息确定捷联惯性测量组合(简称捷联惯组)历次测试数据验前分布的方法。将熵的概念引入验前分布的研究中,研究了在小样本条件下通过最大熵法确定捷联惯组历次测试数据验前分布的方法。研究结果表明这种方法能够准确有效地揭示捷联惯组历次测试数据的统计特性,克服了验前信息不足带来的统计分析误差,有效的提高了统计分析的质量。
This paper mainly discusses the prior distribution of strapdown inertial measurement unit （SIMU） successive test data. The definition of entropy method is introduced to the study of the prior distribution of SIMU, and the methods of establishing prior distribution with the small sample testing environment are discussed and presented. Study shows that this method can exactly and effectively reveal the statistical characteristic of SIMU successive test data. All the statistical inferences are carried out based on the posterior distribution. It can greatly reduce the statistical analysis error to apparently promote the quality of service in the case of small sample.
出处
《航天控制》
CSCD
北大核心
2009年第6期75-78,82,共5页
Aerospace Control
关键词
捷联惯组
历次测试数据
最大熵法
验前分布
小样本
SIMU
Successive test data
Maximum entropy method
Prior distribution
Small sample
