摘要
GPS动态定位的数据处理中通常应用基于"当前"加速度模型的卡尔曼滤波,而实际测量定位中难以保证卡尔曼滤波要求的动态模型(函数模型)和随机模型可靠和切合实际;另一方面,GPS信号易受干扰,因而容易出现观测误差。针对GPS动态定位的这一问题,探讨了在实际应用中存在模型误差和观测误差时的H∞滤波,与卡尔曼滤波相比,原理易于理解,在实际中也很容易实现,减少了计算量且提高了滤波精度。
Kalman filters basing on the ＂current＂ acceleration model are generally used in data management of GPS dynamic positioning, but in actual measure positioning it is difficult to guarantee that the dynamic model（function model） and the stochastic model is reliable and practical ;on the other hand, it is easy to occur the model errors because GPS signal is easily interfered. In view of such a problem in GPS dynamic positioning, this paper has discussed the H∞ Filter in practical applications that has model errors, and compared with the kalman filter basing on the ＂current＂ acceleration model, what makes the method distinctive is that it is easy to under stand the principle, also very easy to realize in practice. In addition, it reduced a calculation quantity and raised the accuracy of the Filter.
出处
《火力与指挥控制》
CSCD
北大核心
2008年第12期154-156,共3页
Fire Control & Command Control
