线性模型信号估计的精度分析

线性模型的信号估计精度是工程应用上非常重要的指标，传统的信号精度分析的方法主要是依据回归模型的残差，构造相应的统计量进行评价的。现通过对动态测量数据模型的分析，从随机误差、系统误差、信号模型这三个方面出发，分别分析其对信号估计精度的影响，结论是建立精确的信号和系统误差的节省参数模型以及有利于信号和误差分离的模型是得到高精度信号估计的前提。比较了弹数据处理中的不同线性模型，并给出算例分析。

Signal Estimation Precision Analysis for Linear Model

The signal estimation precision of the linear model is an important index in applied project. Traditional signal estimation precision is mostly based on residual, and an according statistic is constructed. In this paper, after the model for dynamic measured data was analyzed, signal estimation precision was discussed from the following three facets, random error, system error and signal model. The sparse parameterized model for signal and system error associated with effectively separating signal and noise is the precondition lot improving the signal estimation precision. The different linear models in the data processing of trajective missile were compared. Finally, an example is given.