CAJ | 학술논문

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.
연구재험전신식빈핍적정황하,사용이원험전신식학정첩련관성측량조합(간칭첩련관조)력차측시수거험전분포적방법.장적적개념인입험전분포적연구중,연구료재소양본조건하통과최대적법학정첩련관조력차측시수거험전분포적방법.연구결과표명저충방법능구준학유효지게시첩련관조력차측시수거적통계특성,극복료험전신식불족대래적통계분석오차,유효적제고료통계분석적질량.
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.