VOGL-BP网自适应Kalman滤波器在导航中的应用  

Application of VOGL-BP Net Adaptive Kalman Filter in Navigation

作　　者：莫军[1] 史德[1] 朱海[1] 

机构地区：[1]海军潜艇学院,青岛266071

出　　处：《中国惯性技术学报》1999年第4期21-25,共5页Journal of Chinese Inertial Technology

摘　　要：针对当前自适应Ｋａｌｍａｎ 滤波在导航中的应用存在滤波不稳定和对导航精度的提高幅度有限的现状，本文首次提出了将ＢＰ 神经网络运用到Ｋａｌｍａｎ 滤波器中来形成ＶＯＧＬ－ ＢＰ网自适应Ｋａｌｍａｎ 滤波器来提高滤波的稳定性和滤波的精度。经过大量的模拟实验证明，该方法是切实可行的，能有效地提高滤波的稳定性和精度。In order to cope with the filter instability and the low precision of selfadaptive Kalman filter in navigation, the paper puts forward a new method that introduces VOGLadaptive Kalman filter in navigation, the paper puts forward a new method that introduces VOGLBP neural net to Kalman filter to form a VOGLBP neural net selfBP neural net selfadaptive Kalman filter.By lots of simulation experiments, it is proved that this method can feasibly and effectively improve the stability and precision.

关 键 词：VOGL-BP神经网络 KALMAN滤波 导航 

分 类 号：U666.11[交通运输工程—船舶及航道工程]