为了更有效地评估民航飞机惯性导航性能,更好地分析其惯导数据相对于飞行计划的误差;提出一种新方法整体分析惯导误差,将飞行计划航迹离散化计算出误差数据,使用小波多尺度分析方法,经小波变换将误差分为高频与低频两部分,将非平稳的低频部分进行差分处理转化为平稳时间序列,最终建立惯导误差数据的自回归滑动平均(ARMA)模型;通过与实际快速存取记录器(QAR)数据对比验证,此模型能较好地描述惯导误差,较为准确地描述了民航飞机惯性导航误差,为进一步分析其特性及规律奠定了基础;此方法可用于评估民航飞机惯导性能。
In order to assess civil aircraft inertial navigation performance more effectively,do better analysis of its inertial data error compared wilh flight plan.Presents a new method for the overall analysis of inertial navigation error,make flight plan track discrete and calculate the error data,use multi-scale analysis method dividing error into two parts:high frequency coefficients and low frequency coefficients,change non- stationary low frequency coefficient into a stationary time series,eventually establish error data's autoregressive moving average(ARMA) model.Through the practical quick access recorder(QAR) data validation,this model describes civil aircraft inertial navigation error and describe the trends more accurately.This method can be used to assess civil aircraft inertial navigation system performance.