A Reentry Prediction Method for Small Ellipse Targets in Sparse Data
A sparse data, numerical method technology, applied in design optimization/simulation, offensive equipment, projectiles, etc., can solve problems such as difficulty in judging orbit accuracy, large residual error of measurement elements, and difficulty in selecting initial values of ballistic coefficients.
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[0034] The present invention will be further described below in conjunction with the accompanying drawings:
[0035] The present invention comprises the following steps:
[0036] Step 1: Process the N-circle data collected in the past several days (usually 5 days), and use the numerical method to determine the orbit of the single-circle data respectively, and obtain the corresponding close root number (σ). 1 ,σ 2 ,…,σ N ); remove the short period term in the close root number, and calculate the corresponding square root number
[0037] Step 2: Use the Kepler square root as the root system, use the semi-numerical method for orbital integration, and use the least squares method to fit the ballistic coefficient of the re-entry target; the perturbation items considered in the integration include the earth's aspherical J 2 item, J 3 term, atmospheric drag; the integral model is as follows:
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[0043] Among them, ρ is ...
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