摘要
多模型方法是混合估计的主流方法之一,以该方法估计不变结构半弹道式再入飞行器(SBRV)混合状态的难点在于设计有效的模型集.文中提出了一种伪Monte Carlo模型集可以使SBRV混合状态估计器在最小均方差(MMSE)意义下接近于最优.SBRV的再入估计具有高度的非线性,同时其模式由多个边界已知的参数张成.给出了这种伪Monte Carlo模型集的设计方法,并分析了其性能特征.该模型集相比于Monte Carlo方法生成的模型集有更高的精度,理论分析和仿真结果表明了新设计模型集的有效性与合理性.
Multiple-model approach is one of the main streams for hybrid estimation.The difficulty of this approach to estimate the hybrid state of the semi-ballistic reentry vehicle（SBRV） is model-set design.This paper proposes a quasi-Monte Carlo model set that can ensure the estimator near-optimal in the sense of minimum mean square error（MMSE）.The SBRV has a high nonlinearity and its mode is spanned by multiple parameters with known bounds.The design methods and characteristics of the quasi-Monte Carlo model set are given.The proposed model set has a higher accuracy than the model-set generated by the Monte Carlo method.The theoretical analysis and simulation results show the effectiveness and reasonability of the newly designed model set.
出处
《中国科学：信息科学》
CSCD
2011年第3期311-323,共13页
Scientia Sinica(Informationis)
基金
国家重点基础研究发展计划(批准号:2007CB311006,2010CB734102)
国家自然科学基金创新研究群体科学基金(批准号:60921003)
科技部科技特派员项目(批准号:2009GJC00008)资助
