基于低成本传感器的航弹组合导航算法

为了降低航弹成本、提升装备效费比,以低成本航空制导炸弹的组合导航系统为研究对象进行算法研究.利用扩展卡尔曼滤波算法构建以MEMS陀螺和加速计为核心,GPS辅助的低成本、高精度组合导航系统,采用无人机飞行试验对该系统的导航性能进行评估,得出误差数据,并与纯惯性导航结果相对比.实验结果表明:该导航系统定位精度能达到2 m以内,系统解算精度满足航空制导炸弹飞行要求,对常规航弹制导化改造具有工程实际意义.

Aviation Bomb Integrated Navigation Algorithm Used on Low-cost Sensor

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.