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The Use Of Particle Filtering With The Unscented Transform To Schedule Sensors Multiple Steps Ahead

机译：使用带有Unscented变换的粒子过滤来安排传感器前面的多个步骤

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Amit S. Chhetri; Darryl Morrell; Antonia Papandreou-Suppappola;
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年度 2004
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1. Tracking UUV based on interacting multiple model unscented particle filter with multi-sensor information fusion [J] . Liang Hong-tao, Kang Feng-ju Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic . 2015,第24期

机译：基于多模型无味粒子滤波与多传感器信息融合交互的UUV跟踪
2. Unscented Information Filtering with Interacting Multiple Model for Multiple Sensor Target Tracking [J] . Daekeun Jeon, Yeonju Eun, Hyochoong Bang, Transactions of the Japan society for aeronautical and space sciences . 2013,第2期

机译：具有多模型交互作用的多传感器目标跟踪的无味信息过滤
3. Novel reduced-order modeling method combined with three-particle nonlinear transform unscented Kalman filtering for the battery state-of-charge estimation [J] . Xu Wenhua, Wang Shunli, Fernandez Carlos, Journal of power electronics . 2020,第6期

机译：新颖的减阶型建模方法与三粒子非线性变换联合的Kalman滤波，用于电池的充电状态估计
4. THE USE OF PARTICLE FILTERING WITH THE UNSCENTED TRANSFORM TO SCHEDULE SENSORS MULTIPLE STEPS AHEAD [C] . Amit S. Chhetri, Darryl Morrell, Antonia Papandreou-Suppappola IEEE International Conference on Acoustics, Speech, and Signal Processing . 2004

机译：使用颗粒滤波与Unscented变换以调度传感器的多步骤
5. Conjugate Unscented Transform Based Methods for Uncertainty Quantification, Nonlinear Filtering, Optimal Feedback Control and Dynamic Sensing. [D] . Adurthi, Nagavenkat. 2016

机译：结合基于无味变换的不确定性量化，非线性滤波，最优反馈控制和动态传感方法。
6. An Improved Unscented Particle Filter Approach for Multi-Sensor Fusion Target Tracking [O] . Junhai Luo, Zhiyan Wang, Yanping Chen, 2020

机译：一种改进的多传感器融合目标跟踪的无编织颗粒滤波器方法
7. Unscented Information Filtering with Interacting Multiple Model for Multiple Sensor Target Tracking [O] . Daekeun JEON, Yeonju EUN, Hyochoong BANG, 2013

机译：用于多个传感器目标跟踪的交互多模型的Unscented信息过滤

The Use Of Particle Filtering With The Unscented Transform To Schedule Sensors Multiple Steps Ahead

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