A Hybrid Deep Sea Navigation System of LBL/DR Integration Based on UKF and PSO-SVMOA北大核心CSCDCSTPCD

作者：LIU Ben;LIU Kaizhou;WANG Yanyan;ZHAO Yang;CUI Shengguo;WANG Xiaohui

作者单位：State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

中文关键词：unscented Kalman filter (UKF)particle swarm optimization (PSO)support vector machine (SVM)deep sea navigation systemhuman occupied vehicle (HOV)

英文关键词：unscented Kalman filter (UKF)particle swarm optimization (PSO)support vector machine (SVM)deep sea navigation systemhuman occupied vehicle (HOV)

刊名：《机器人》 2015 (5)

页码/页数：614-620,7

基金：Supported by: National High Technology Development Program of China (2009AA093302, 2014AA09A110) the Chinese Academy of Strategic Leading Science and Technology Special (XDA11040104)

DOI：10.13973/j.cnki.robot.2015.0614