Application of neural network algorithm in GPS navigation
Niu Jian-bo · Journal of Chinese Inertial Technology · 2006
LS algorithm is usually used in GPS dynamic data processing.With the improving of high precision demanding of kinematic users and the existing of measurement outliers in the measurements,the selecting of the appropriately functional models is usually difficult to meet the needs of the users.So a new robust Hopfield neural network,by using the neural network and considering the weigh matrix of observations,is presented in this paper,which,with a high degree of fault tolerance,uses the robust estimator to control the influences of the outliers of observational vectors,and can effectively improve the navigation reliability.It is shown,by calculations and analysis,that the Hopfield neural network algorithm based on robust estimation can control the influences of measurement outliers on navigation results.