Application of the Kalman filtering with BP algorithm in GPS/DRS integrated navigation system

被引：0
|
作者：
Zhang Yi-nan [1 ]
Fan Yue-zu [1 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Dept Automat Sci & Elect Engn, Beijing 100083, Peoples R China
来源：
Proceedings of 2004 Chinese Control and Decision Conference | 2004年
关键词：
neural net; BP algorithm; Kalman filter;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A neural net (NN) trained by BP algorithm with Kalman filtering is applied in a low-cost GPS/DRS integrated navigation system. This algorithm owns not only self-study ability and good real-time performance of NN, but also Kalman filter's optimization assessment. It can also overcome many flaws of NN, such as slow convergence, sensitivity about the study parameters, etc. The simulation results prove that the algorithm is prior in. precise and stability compared with usual Kalman filter.
引用
收藏
页码：283 / 285
页数：3
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