摘要
如何合理有效地利用验前信息是小子样精度评定中的关键问题。针对导弹制导精度评定,提出了一种根据验前信息确定验前分布参数,融合验前信息和飞行试验信息的精度评估方法,该计算方法引入了验前信息的可信度指标,能够有效避免验前信息"湮没"现场信息的情况,而且可以进一步解决信息使用的主观性问题。为工程应用提供了一定的指导。
How to use the prior information effectively and reasonably is a key issue in the evaluation of small sample. For the evaluation of guidance precision of missiles, a new computing approach is presented to confirm the parameters of prior distribution according to the prior information. Moreover, a precision-assessment method is proposed, which makes use of the prior information and the current information. And the domination of prior information over current data can be overcome effectively. Furthermore, the subjective problem can be solved when the prior data is being used. This computing method provides certain guidance for engineering practice.
出处
《航天控制》
CSCD
北大核心
2011年第6期49-53,共5页
Aerospace Control
关键词
特小子样
BAYES方法
验前分布
验后分布
精度评估
Extreme small sample
Bayesian method
Prior distribution
Subsequent distribution
Accuracy evaluation
