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小波变换在舷外有源诱饵仿真模型验证中的应用
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  • 英文篇名:Application of Wavelet Transform in Simulation Model Validation of Outboard Active Decoy
  • 作者:张鸿喜 ; 张洁
  • 英文作者:Zhang Hongxi;Zhang Jie;Unit 93,No.91404 Troops of PLA;
  • 关键词:小波变换 ; 舷外有源诱饵 ; 模型验证 ; 非平稳随机信号
  • 英文关键词:wavelet transform;;outboard active decoy;;model validation;;non-stationary random signal
  • 中文刊名:XTFZ
  • 英文刊名:Journal of System Simulation
  • 机构:91404部队93分队;
  • 出版日期:2018-01-08
  • 出版单位:系统仿真学报
  • 年:2018
  • 期:v.30
  • 语种:中文;
  • 页:XTFZ201801044
  • 页数:7
  • CN:01
  • ISSN:11-3092/V
  • 分类号:326-332
摘要
针对舷外有源诱饵仿真模型输出为非平稳随机信号的特点,提出了一种基于小波变换的仿真模型验证方法。验证策略是:通过确定小波函数,将实测和仿真信号分解为低频和高频两部分。对处于平稳状态的低频部分,采用最小二乘法进行参数拟合取得其特征数据;对于高频部分,采用AR模型进行参数拟合,将拟合参数作为其特征数据;利用相关系数法分别对低频和高频部分特征数据的一致性程度进行分析与计算,完成模型验证。按照该策略,利用典型应用态势下的外场试验数据,对舷外有源诱饵仿真模型进行了验证。应用表明,该方法有助于提高模型验证的准确性。
        Aiming at the characteristics that the output signal of outboard active decoy simulation model is non-stationary random signal, a simulation model verification method based on wavelet transform is proposed. The measured and simulated signals are decomposed into low frequency and high frequency parts by determining the wavelet function. For the low frequency part with stationary state, the characteristic data is obtained by parameter fitting with the least square method. For the high frequency part, AR model is used to fit the parameters, and the fitting parameters are used as the characteristic data,The correlation coefficient method is used to analyze and calculate the consistency of the characteristic data of low frequency and high frequenc. According to this strategy, the outboard active decoy simulation modelis verified using the external field test data under the typical application situation. The result shows that the method is helpful for improving the accuracy of model validation.
引文
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