摘要
导弹、卫星等飞行器的高精度定位问题,归结为多平台、多种类信息的融合处理.在多源信息融合处理中,各类信息加权的权值对融合结果的精度有重要影响.本文通过引入加权因子,研究了多源信息融合处理的加权与参数估计精度问题,得到了参数估计均方误差与权值的关系,证明了非线性模型的权值,不仅与测量误差的统计特性有关,还与模型的结构、样本量大小有关.计算结果表明,采用本文的加权方法,可显著提高导弹弹道参数估计精度.
High-precision determining the aerocraft position involves multi-sensors information fusion. The powers of all information in the fusion processing are very important to the precision of the fusion processing results. By virtue of power factors, the estimated precision of parameters and the method of giving power to all information were investigated for multi-sensors information fusion model. The relations between the powers and the mean square deviation of parameter estimation were obtained. The weights, related to the statistical charac- teristics of the measuring error, the model structure and the sample number, were obtained. The numerical results showed that the estimated precision of missile ballistic parameters was significantly improved.
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2007年第4期37-40,共4页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(60604020)
航天支撑技术基金资助项目(2006-HT-GFKD-02)
关键词
飞行器
多源信息融合
非线性模型
高精度
aerocraft
multi-sensors information fusion
nonlinear parameter model
high precision