Improvement and application of distance-prediction method in the DME/P system
In the memory-stage of the distance measuring equipment/precision(DME/P) system, to improve the forecastprecision, the Kalman filter and AR(p)model were substituted for the method of dymanic memory which is a traditional way to predict the distance value between the aircraft and the DME/P system respectively. In addition, to increase the real-time computing, sub-cycle Kalman filter was used to predigest the Kalman filter. The simulation results indicate that the two methods can predict the distance value accurately and the Kalman filter has better real-time.
国家科技期刊平台
NSTL
万方数据
维普
