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Trajectory Estimation with Multi-range-rate System Based on Sparse Representation and Spline Model Optimization
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DOI：10.1016/S1000-9361(09)60191-6.png)
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Abstract
En 中文
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.
Keywords:
tracking radar
systematic errors
truncation error
sparse representation
splines
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