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Near real-time improved UUV positioning through--The Unscented Kalman Filter approach

机译：通过无味卡尔曼滤镜方法近乎实时地改善了UUV定位

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The article of record as published may be located at http://dx.doi.org/10.1109/OCEANS.2016.7761087

机译：已发布的记录文章可能位于http://dx.doi.org/10.1109/OCEANS.2016.7761087

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Vio Renato P.; Cristi Roberto; Smith Kevin B.;
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1. An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter [J] . Andong Hu, Jian Wang, Wolfgang Kainz, ISPRS International Journal of Geo-Information . 2015 ,第4期

机译：使用自适应无味卡尔曼滤波器的泛在定位的改进的PDR /磁力计/楼层地图集成算法
2. IMPROVED ARITHMETIC OF TWO-POSITION FAST INITIAL ALIGNMENT FOR SINS USING UNSCENTED KALMAN FILTER [J] . Ji-zhou Lai, Jian Xiong, Jian-ye Liu, International Journal of Innovative Computing Information and Control . 2012 ,第4期

机译：使用无味卡尔曼滤波器的罪过的两位置快速初始对齐算法
3. A back-propagation approach to compensate velocity and position errors in an integrated inertial/celestial navigation system using unscented Kalman filter [J] . Hadi Nobahari, Habib Ghanbarpour Asl, Seid Farhad Abtahi Proceedings of the Institution of Mechanical Engineers . 2014 ,第G10期

机译：使用无味卡尔曼滤波器的惯性/天文导航系统中的反向传播方法来补偿速度和位置误差
4. Near real-time improved UUV positioning through channel estimation - the Unscented Kalman Filter approach [C] . Renato P. Vio, Roberto Cristi, Kevin B. Smith OCEANS 2016 MTS/IEEE Monterey . 2016

机译：通过通道估计，近乎实时地改善了UUV定位-无味卡尔曼滤波方法
5. Unscented Kalman filtering for relative attitude and position estimation. [D] . Goh, Shu Ting. 2007

机译：无味卡尔曼滤波，用于相对姿态和位置估计。
6. A High-Precision Real-Time and Robust Indoor Visible Light Positioning Method Based on Mean Shift Algorithm and Unscented Kalman Filter [O] . Zekun Xie, Weipeng Guan, Jieheng Zheng, 2019

机译：基于均值漂移算法和无味卡尔曼滤波器的高精度实时鲁棒的室内可见光定位方法
7. A High-Precision, Real-Time, and Robust Indoor Visible Light Positioning Method Based on Mean Shift Algorithm and Unscented Kalman Filter [O] . Zekun Xie, Weipeng Guan, Jieheng Zheng, 2019

机译：基于均值换算算法和Unscented Kalman滤波器的高精度，实时和坚固的室内可见光定位方法

Near real-time improved UUV positioning through--The Unscented Kalman Filter approach

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