Analysis of Inertial Navigation Error Propagation Based on Vertical Deviation Statistical Model
With the development of high-precision long endurance inertial navigation systems,vertical deviation gradually replaces inertial component error as the main source of error.The existing methods for obtaining vertical deviation mainly include measurement and indirect estimation,both of which highly rely on high-precision equipment or a large amount of high-precision real measurement data.This study is using exponential anomaly,second-order Markov anomaly,second-order Markov undulation,and third-order Markov undulation models to model vertical deviation,establish the rela-tionship between terrain and statistical model characteristic parameters:root mean square of vertical deviation,and inverse correlation time.Based on the vertical deviation statistical model,further research is conducted on the error propagation characteristics of inertial navigation systems,exploring the quantitative relationship between velocity error,position error,and statistical model characteristic parameters.This research is enriching the interpretability of vertical deviation data and is providing a reference for simulation research of navigation systems.
NETL
NSTL
万方数据
