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自主水下机器人被动目标跟踪及轨迹优化方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2016
Authors:  王艳艳
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自主水下机器人  被动目标跟踪  非线性滤波  数据关联算法  轨迹优化  
基于强跟踪平方根容积卡尔曼滤波的纯方位目标运动分析方法 期刊论文
计算机测量与控制, 2016, 卷号: 24, 期号: 11, 页码: 136-140
Authors:  王艳艳;  刘开周;  封锡盛
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Auv  纯方位目标跟踪  非线性系统  平方根容积卡尔曼滤波  强跟踪滤波  
A hybrid deep sea navigation system of LBL/DR integration based on UKF and PSO-SVM 期刊论文
机器人, 2015, 卷号: 37, 期号: 5, 页码: 614-620
Authors:  Liu B(刘本);  Liu KZ(刘开周);  Wang YY(王艳艳);  Zhao Y(赵洋);  Cui SG(崔胜国);  Wang XH(王晓辉)
View  |  Adobe PDF(747Kb)  |  Favorite  |  View/Download:390/68  |  Submit date:2015/12/13
Unscented Kalman Filter (Ukf)  Particle Swarm Optimization (Pso)  Support Vector Machine (Svm)  Deep Sea Navigation System  Human Occupied Vehicle (Hov)  
Adaptive square-root CKF with application to DR/LBL integrated heading estimation for HOV 会议论文
Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, May 23-25, 2015
Authors:  Liu KZ(刘开周);  Liu B(刘本);  Wang YY(王艳艳);  Zhao Y(赵洋);  Cui SG(崔胜国);  Feng XS(封锡盛)
View  |  Adobe PDF(130Kb)  |  Favorite  |  View/Download:261/66  |  Submit date:2015/11/18
Dr/lbl  Heading Estimation  Maximum a Posterior  Human Occupied Vehicle  Adaptive Square-root  Cubature Kalman Filter  
纯方位目标跟踪的ST-MEF-PDAF方法研究 期刊论文
计算机测量与控制, 2014, 卷号: 22, 期号: 11, 页码: 3777-3779
Authors:  刘开周;  梅登峰;  王艳艳;  林燕平
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最大熵模糊概率数据关联滤波器  强跟踪  纯方位跟踪  杂波  
SGPDA-STF及其在水下多目标纯方位跟踪中的应用 期刊论文
机械设计与制造, 2014, 期号: 12, 页码: 220-223
Authors:  刘开周;  梅登峰;  王艳艳
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广义概率数据关联  强跟踪  纯方位跟踪  多目标跟踪  杂波  
仅方位角系统UUV轨迹优化方法研究 期刊论文
控制工程, 2014, 卷号: 21, 期号: S1, 页码: 54-57
Authors:  王艳艳;  刘开周;  陈华雷
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主从式uuvs  Tma  轨迹优化  距离最短  
AUV纯方位目标跟踪轨迹优化方法 期刊论文
机器人, 2014, 卷号: 36, 期号: 2, 页码: 179-184
Authors:  王艳艳;  刘开周;  封锡盛
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自主水下机器人  纯方位跟踪  轨迹优化  收益函数  扩展卡尔曼滤波  
Optimal AUV trajectories for bearings-only target tracking and intercepting 会议论文
Proceedings of the International Offshore and Polar Engineering Conference, Busan, Korea, Republic of, June 15, 2014 - June 20, 2014
Authors:  Wang YY(王艳艳);  Liu KZ(刘开周);  Feng XS(封锡盛)
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Automatic Target Recognition  Cost Functions  Extended Kalman Filters  Target Tracking  Trajectories  
MEFPDA-SCKF for underwater single observer bearings-only target tracking in clutter 会议论文
OCEANS 2013 MTS/IEEE, San Diego. USA, September 23-26, 2013
Authors:  Mei DF(梅登峰);  Liu KZ(刘开周);  Wang YY(王艳艳)
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Bearings-only Tracking  Square-root Cubature Kalman Filter (Sckf)  Probabilistic Data Association (Pda)  Maximum Entropy Fuzzy Probabilistic Data Association (Mefpda)