Paper Title:

Neural Network Aided GPS/INS Integration for UAV Navigation

Periodical Applied Mechanics and Materials (Volumes 397 - 400)
Main Theme Advanced Design and Manufacturing Technology III
Chapter Chapter 10: Industrial Robotics and Machine Vision, Navigation and GPS Technology
Edited by Hongyang Zhao, Kun Liu and Xiaoguang Yu
Pages 1598-1601
DOI 10.4028/
Citation Qing Ji Meng, 2013, Applied Mechanics and Materials, 397-400, 1598
Online since September 2013
Authors Qing Ji Meng
Keywords Inertial Navigation System (INS), Kalman Filter (KF), MEMS, Neural Network (NN)
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Traditional INS/GPS integrated system would degrade sharply when GPS outages, a new method is proposed in this paper, which is a NN(Neural Network) aided KF (Kalman Filter) integration method.The structure of the method was shown summarily, the NN and KF design flow was discussed briefly, test experimentations have been done to prove the availability of the proposed method. Primary test results have shown that the proposed method can reduce the navigation solution during GPS outages, by about 70%, in comparison with INS stand alone results in GPS outage of 60 seconds.