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基于神经计算的GPS/SINS组合导航滤波器设计
引用本文:王利存,吴简彤.基于神经计算的GPS/SINS组合导航滤波器设计[J].数据采集与处理,1998,13(4):343-347.
作者姓名:王利存  吴简彤
作者单位:哈尔滨工程大学自动控制系
摘    要:将线性二次型最优化方法与Hopfield神经网络相结合,研究了一种基于神经计算的滤波算法。而且,将算法应用于全球定位系统(GPS)与捷联惯导系统(SINS)的组合导航,通过计算机仿真,与卡尔曼滤波算法结果进行了比较,说明了该滤波算法的有效性和实用性。

关 键 词:神经网络  算法  组合导航  全球定位系统  捷联惯导系统

Integrated GPS/SINS Navigation Filter Design Based on Neurocomputing
Wang Licun,Wu Jiantong Ling Mingxiang Zhang Shuxia.Integrated GPS/SINS Navigation Filter Design Based on Neurocomputing[J].Journal of Data Acquisition & Processing,1998,13(4):343-347.
Authors:Wang Licun  Wu Jiantong Ling Mingxiang Zhang Shuxia
Affiliation:Wang Licun Wu Jiantong Ling Mingxiang Zhang Shuxia Department of Automatic Control,Harbin Engineering University Harbin,150006
Abstract:Integrated the linear quadratic optimization technology and the Hopfield neural network and investigated a filtering algorithm based on neurocomputing. The algorithm is also applied to an integrated GPS/SINS navigation system. Through computer simulation, the result of this algorithm is compared with that of the Kalman filter. The validity and practicality of this filtering algorithm are proved.
Keywords:neural networks  algorithms  integrated navigation  global positioning system (GPS)  strapdown inertial navigation system (SINS)  
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