Forecasting on the Reentry Maneuvering Trajectory of Tactical Ballistic Missile Based on Improved Grey Model
Received date: 2010-07-19
Online published: 2025-05-30
TBM再入段机动会导致防空反导武器系统对其的跟踪、识别和拦截困难。针对这一问题,文中提出了基于区间预测的Verhulst预测方法。首先利用区间预测对原始数据进行处理,将修正后的样本带入Ver-hulst模型进行预测。通过对算例验证,得到了较为合理的预测数据。对三种方法的预测数据进行对比分析可以看出,新方法收敛性好、误差小的优势。
关键词： 防空反导; 机动突防; 灰色预测; 灰色 Verhulst 模型
赵瑞琪 , 刘付显 , 张搏 . 基于改进灰色模型的TBM末段机动弹道预测分析[J]. 弹箭与制导学报, 2011 , 31(3) : 186 -187,191 . DOI: 10.15892/j.cnki.djzdxb.2011.03.059
An improved method was put forward based on grey theory to solve the problem caused by the reentry maneuvering trajectory of TBM. Firstly, interval prediction was used to deal with the original data. Then the amended swatch was calculated in the model of Verhulst Rational result has been worked out with the new method. Case comparison and analysis shows that the new method has an acceptable astringency and relative error.
Key words： anti-missile; reentry maneuvering; grey prediction; grey Verhulst model
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