重庆邮电大学学报（自然科学版）2011，Vol.23Issue(1)：43-47,5.DOI:10.3979/j.issn.1673-825X.2011.01.009
精密测距系统距离预测方法改进与应用
Improvement and application of distance-prediction method in the DME/P system
王伟卿 1李晓明1
作者信息
- 1. 空军工程大学,电讯工程学院,陕西,西安,710077
- 折叠
摘要
Abstract
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.关键词
精密测距系统/AR(p)模型/卡尔曼滤波/分段循环卡尔曼滤波Key words
DME/P/ AR(p) modle/ kalman filter/ sub-cycle kalman filter分类
信息技术与安全科学引用本文复制引用
王伟卿,李晓明..精密测距系统距离预测方法改进与应用[J].重庆邮电大学学报（自然科学版）,2011,23(1):43-47,5.
