Research on Adaptive Kalman filter Algorithm based on Fuzzy neural network

摘要：

When the plant of an integrated SINS/GPS navigation system dynamics or noise processes are not exactly known, or the noise processes are not zero mean white noise, divergence problems will occur. In this paper, a based on intelligent information fusion technology -fuzzy neural network adaptive system is used to adjust the exponential weighting of a weighted Kalman filtering and prevent it from divergence. The simulation results show that in the case of gradually increasing noise statistics, the fuzzy neural network adaptive algorithm is robust and has high accuracy.

关键词： Inertial navigation systems (INS) Global Positioning System (GPS) Fuzzy neural network Adaptive Kalman filtering

作者: Zhen Shi Peng Yue Xiuzhi Wang

作者单位: College of Automation Haerbin Engineering University Haerbin,Heilongjiang Province,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）