一种具有高收敛速度的地形辅助制导系统

本文研究一种适用于为大起始位置误差飞行器定位的卡尔曼滤波地形辅助制导系统。并行滤波体制是位置误差允许范围得以扩大的基础。针对其中正确估计的判决和计算的实时性问题,文中提出一种降阶系统模型和对此模型的自适应判决方法。最后,对如何进一步提高系统的收敛速度进行了分析,并得到了有意义的结果。

AN TERRAIN-AIDED GUIDANCE SYSTEM WITH HIGH CONVERGENCE SPEED

A parallel kalman filter system for terrain-aided gurdance based on the theory of Gaussian Sum to meet the requirement of locating flying vehicles with large initial ppsition error is pressented. An order-reduced model is put forward, based on the error analysis of which an adaptire sequential decision （ASD） method is presented. Combining both of then the position uncertainty and the amount of calculation can be decreased in steps and the real-time calculation can be implemented. The performance analysis of ASD gives a practical way to further increase the speed of convergence. It is shown that a fast and accurate location can be provided by the system for a vehicle even with larger errors in position, velocity and course.