کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
766075 | 1462539 | 2010 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Trajectory Estimation with Multi-range-rate System Based on Sparse Representation and Spline Model Optimization Trajectory Estimation with Multi-range-rate System Based on Sparse Representation and Spline Model Optimization](/preview/png/766075.png)
The classic state methods for trajectory estimation in boost phase with multi-range-rate system include method of point-by-point manner and that of spline-model-based manner. Both are deficient in terms of model-approximation accuracy and systematic error determination thus resulting in the estimation errors well beyond the requirements, especially, concerning the maneuvering trajectory. This article proposes a new high-precision estimation approach based on the residual error analysis. The residual error comprises three components, i. e. systematic error, model truncation error and random error. The approach realizes self-adaptive estimation of systematic errors in measurements following the theory of sparse representation of signals to minimize the low-frequency components of residual errors. By taking median- and high-frequency components as indexes, the spline model-approximation is improved by optimizing node sequence of the spline function and the weight selection for data fusion through iteration. Simulation has validated the performances of the proposed method.
Journal: Chinese Journal of Aeronautics - Volume 23, Issue 1, February 2010, Pages 84-90