计算机工程2011，Vol.37Issue(12)：224-225,229,3.DOI:10.3969/j.issn.1000-3428.2011.12.076
高精度时变参数模型谱估计及应用
High Precision Time-Varying Parametric Model Spectrum Estimation and Its Application
摘要
Abstract
To solve the problem of spectral deviation for Time-Varying Auto-Regressive(TVAR) model parametric spectrum estimation, this paper proposes a TVAR parameter estimation method based on Genetic Algorithm(GA) and combined objective function and the method is used to model the flight vibration time series and its spectrum estimation. An initial estimation of the parameters is acquired by the U-C algorithm; through modern spectrum estimation theory and the necessary condition of extreme value for continuous function, a constraint equation of model parameters is derived and a combined adaptability function is constructed; the GA is used to optimize the initial parameter estimation. Application results verifies the efficiency of the method.关键词
时变自回归模型/U-C算法/组合目标函数/遗传算法Key words
Time-Varying Auto-Regressive(TVAR) model/ U-C algorithm/ combined objective function/ Genetic Algorithm(GA)分类
信息技术与安全科学引用本文复制引用
邓卫强,王跃钢,杨颖涛..高精度时变参数模型谱估计及应用[J].计算机工程,2011,37(12):224-225,229,3.基金项目
国家"973"计划基金资助项目 （）
