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。
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.
出处
《数据采集与处理》
EI
CSCD
1998年第4期343-347,共5页
Journal of Data Acquisition and Processing
关键词
神经网络
算法
组合导航
滤波器
设计
GPS
SINS
neural networks
algorithms
integrated navigation
global positioning system (GPS)
strapdown inertial navigation system (SINS)
