兵工自动化Issue(4)：16-20,5.DOI:10.7690/bgzdh.2016.04.005
基于低成本传感器的航弹组合导航算法
Aviation Bomb Integrated Navigation Algorithm Used on Low-cost Sensor
翟萌 1贾方秀 1于纪言1
作者信息
- 1. 南京理工大学智能弹药国防重点实验室,南京 210094
- 折叠
摘要
Abstract
To reduce the cost of bomb and enhance the equipment efficiency cost ratio, an algorithm research about integrated navigation system for low cost guided aviation bomb. A low cost and high precision combined navigation system is then developed by using extended Kalman filter algorithm, MEMS gyroscope and accelerometer assisted by GPS. UAV flight experimental data is carried out to verify the navigation system, and get the error data. The results are subsequently compared to the stand-alone inertial navigation solution. The experiment results show that the positioning accuracy of this system can reach 2 meters, which can satisfy the requirement of guided aviation bomb flight. In addition, it has engineering practical significance for updating regular conventional bomb.关键词
航空制导炸弹/惯性导航/GPS/INS组合导航/扩展卡尔曼滤波Key words
guided aviation bomb/inertial navigation/GPS/INS integrated navigation system/extended Kalman filter分类
军事科技引用本文复制引用
翟萌,贾方秀,于纪言..基于低成本传感器的航弹组合导航算法[J].兵工自动化,2016,(4):16-20,5.
