吉林大学学报（理学版）2017，Vol.55Issue(5)：1192-1198,7.DOI:10.13413/j.cnki.jdxblxb.2017.05.29
基于神经网络的航位推算导航
Dead-Reckoning Navigation Based on Neural Network
摘要
Abstract
Aiming at the problem that there was a lot of noise in the measurement of the direction of the gyroscope,resulting in a large error to the dead-reckoning navigation,we proposed a method of dead-reckoning navigation based on neural network.The method used neural network to investigate the time-varying relationship between acceleration measurement and orientation measurement.Thus,we used acceleration value to calculate direction value through this time-varying relationship without using the gyroscope,and then completed the autonomous underwater vehicle (AUV) dead-reckoning navigation.The results show that the algorithm can only use the accelerometer to complete dead-reckoning navigation.So we can avoid dead-reckoning errors caused by gyroscope noise at the sea surface.Simulation results show that the algorithm has higher accuracy.关键词
航位推算/神经网络/加速度计Key words
dead-reckoning/neural network/accelerometer分类
信息技术与安全科学引用本文复制引用
谢彦新,胡成全,王凯,吴鹏..基于神经网络的航位推算导航[J].吉林大学学报（理学版）,2017,55(5):1192-1198,7.基金项目
国家自然科学基金(批准号:51409117 （）
61572228). （）
