基于非线性模型高精度参数估计的新解算

A New Method of High Precision Parameter Estimation Based on Nonlinear Model

在以往诸多对非线性模型参数进行估计的解算中,普遍存在着对起算数据精度要求较高、解算精度较差、收敛速度缓慢等缺陷。本文在对传统求解非线性模型参数的思想进行了分析和研究的基础上,提出了一种利用多平差方法对待估参数进行相互迭代,以求得参数估值的新算法,文中通过实例分析证明该算法在解算精度和收敛速度方面较传统算法有明显优势。

In the past,when making the estimation on nonlinear model parameters,there existed such disadvantages as demanding high precision of initial data,poor estimating precision and low converging speed.In this paper,based on the analysis and research of the traditional nonlinear model parameter method,it proposes a method that the multi-adjustments are adopted to make mutual iteration in dealing with estimating parameters so as to obtain the new algorithm of the parameter value.