动态数据系统(DDS)方法及其在火控系统中的应用

本文简述了DDS方法的建模过程。对一组工程数据,在用FFT分析了频谱的基础上,重新采样并用DDS方法处理了这组数据。由于对同一序列的各样本建模结果不一致,提出了用多样本统一建模的方法。所建的统一模型效果比较好,方位角和高低角量测误差的方差可以用此模型滤波后分别降低70％和84％。对DDS的这一改进建模方法、同样可以用于其他多样本数据的处理。

A DYNAMIC DATA SYSTEM MODELING METHOD AND ITS APPLICATIONS

Briefly describes the modeling procedure of the Dynamic Data System Method. By means of the Faster Fourier Transform, a set of engineering data is processed and the frequency spectrum obtained. The set of data is thereafter resampled and treated with the DDS method. Since the results of modeling different samples of the same stochastic process are distinct, a modeling program for multiple-sample data is put forward. Using this new method, a model satisfying different samples is obtained and proves itself efficient .Typical application cited shows that the error variances of azimuth and pitch angle are reduced by 70% and 84% respectively after filtering using the model.The improved modeling procedure for Dynamic Data System method can be used to process other cases involving multiple-sample data.