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基于多模型半参数非线性回归模型的外弹道节省参数估计

Sparse Parameter Estimation for Exterior Ballistic Trajectory Based on Multi-structure and Semi-Parameter Nonlinear Regression Model
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摘要 双星定位系统的应用是外弹道估计中的一种发展趋势。文章给出基于双星、光雷的联合测量模型,建立基于半参数回归的外弹道节省参数估计模型;给出基于半参数回归的外弹道节省参数估计算法及计算步骤,并从理论上分析了基于半参数回归的外弹道节省参数估计算法能有效地消除非线性因素对参数估计性能的影响,其估计精度优于经典的节省参数建模方法,并通过仿真得到:该算法确实有效。 The application of Bi-satellite positioning system is a tendency in the estimation of exterior ballistic trajectory.The combined measuring model based on Bi-satellite as well as optical and radar measure was presented,and then the sparse parameter estimation model,the corresponding estimation algorithm,calculation step for exterior ballistic trajectory based on semi-parameter regression model were established.Moreover this paper analyzed and explained that this algorithm can eliminate the impacts to the estimation precision of trajectory parameters which were brought by the nonlinear ingredients more effectively than the least square method both from theory analysis and simulation experiments.
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出处 《计算机与数字工程》 2012年第6期4-7,69,共5页 Computer & Digital Engineering
关键词 外弹道估计 半参数回归 非线性估计 节省参数 estimation of exterior ballistic trajectory semi-parameter regression nonlinear estimation sparse parameter modeling
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