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首页> 外文期刊>Kybernetes: The International Journal of Systems & Cybernetics >Study on track prediction of air target based on grey system model
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Study on track prediction of air target based on grey system model

机译：基于灰色系统模型的空中目标航迹预测研究

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Purpose - In order to find a more accurate prediction method for the track of an aerial target, this paper aimsto establish a track prediction model by the theory of grey system based sometrack data of the target. Design/methodology/approach - Aimed at the purpose, the authors have modified a model GM (1,1) with corrected residual error had presented in the literature, but it modeling the data with initial condition by the first data x (1), it is better to use the new information for the prediction, this means that the authors can use the last date x (n) as the initial conditions to modeling the track of air target to build a new model. Findings - A modified model GM (1,1) with corrected residual error and initial conditions data x (n) is presented in this paper. The example demonstrates that the model is good fit for the prediction of the target tracks, especially for the case of that difficult to get accurate and reliable data when the data are limited. Research limitations/implications - And the presented GM model can set up online to improve prediction precision. Further research is a need to do for actual engineering application although the example demonstrates that the model is good fit for the prediction of the target tracks as the tag pointed out. When the target is moving in a uniform velocity along a line, the GM prediction has a good accuracy due to the orderliness of the data. Practical implications - As the example, here data are given in the case of variable accelerate for this is more fit the factual applications. The precision of GM (1,1) could be enhanced with the boundary condition at the terminus, and so much as the residual error revising could be omitted. Originality/value - The modified model effectually improved the veracity of track prediction of an aerial target. It is shown that the grey forecasting model can be used in the prediction of an air target tracks at least. Combining some other techniques could gain some further results.
机译：目的-为了找到一种更准确的空中目标轨迹预测方法，本文旨在基于灰色系统理论基于目标的某些轨迹数据建立轨迹预测模型。设计/方法/方法-针对此目的，作者修改了模型GM（1,1），该模型具有已在文献中提出的校正的残差，但它使用第一个数据x（1）对具有初始条件的数据进行建模，最好使用新信息进行预测，这意味着作者可以使用最后日期x（n）作为初始条件来对空中目标的轨迹建模以建立新模型。研究结果-本文提出了一种修正的模型GM（1,1），具有修正的残差和初始条件数据x（n）。该示例表明，该模型非常适合目标轨道的预测，尤其是在数据有限时难以获得准确可靠的数据的情况下。研究局限/意义-提出的GM模型可以在线设置以提高预测精度。对于实际的工程应用，还需要做进一步的研究，尽管该示例证明了该模型非常适用于标签所指出的目标轨道的预测。当目标沿着线以均匀速度移动时，由于数据的有序性，GM预测具有良好的准确性。实际意义-作为示例，此处给出的数据是在变量加速的情况下给出的，因为这更适合实际应用。 GM（1,1）的精度可以通过边界处的边界条件来提高，从而可以省去残留误差修正。原创性/价值-修改后的模型有效地提高了空中目标轨迹预测的准确性。结果表明，灰色预测模型至少可以用于空中目标航迹的预测。结合其他一些技术可以获得更多结果。

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