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- Unscented particle filtering algorithm using minimal skew sampling[J]. 引用该论文 刘贵喜;马涛;陈石磊.
- Since the above disadvantage of particle filter, some improved algorithms, such as U-particle filter and Square Root Unscented particle filter has been presented in this dissertation. 针对粒子滤波存在的上述问题,本文提出了一些改进算法:U-粒子滤波算法、平方根U-粒子滤波算法,并将各种算法结合起来,得到了一种更适用于通信系统的改进算法。
- UPF ( unscented particle filter ) UPF
- Unscented Particle Filter method UPF方法
- improved unscented particle filter 改进平淡粒子滤波
- Unscented Particle Filter and Its Application to Radar Target Tracking 一种改进粒子滤波器在雷达目标跟踪中的应用
- unscented particles filter (UPF) 无味粒子滤波
- Study on Unscented Particle Filter Applied in Initial Alignment of Large Azimuth Misalignment on Static Base of SINS Unscented粒子滤波在静基座捷联惯导系统大方位失准角初始对准中的应用研究
- Unscented particle filter Unscented粒子滤波
- In order to improve the positioning precision and reliability,extended Kalman filter(EKF),particle filter(PF) and unscented Kalman filter(UKF) algorithms were analyzed respectively. 为了提高组合导航定位系统的定位精度和可靠性,分别对扩展卡尔曼滤波(EKF)、粒子滤波(PF)和U卡尔曼滤波(UKF)3种算法进行了分析。
- Particle filter tracking algorithm based on maximum a posteriori[J]. 引用该论文 刘天键;朱善安.
- A demo illustring Particle filter for navigation with altimetric measurements. 这个程序通过粒子滤波实现地形辅助导航算法。
- A particle filter algorithm based on Bayesian theory and Monte-Carlo simulation is presented. 提出了一种基于贝叶斯理论及蒙特卡罗仿真的粒子滤波算法。
- The simulation results show that the improved particle filter can effectively track the highly maneuvering targets. 仿真结果证实，该改进算法能有效跟踪高度机动的目标。
- This dissertation introduces particle filter into the problem of data fuse between sensor nodes. 本文针对传感器节点之间数据融合的问题，引入了粒子滤波算法。
- Such particle filters can reduce soot emissions by as much as 98 percent. 这类微粒过滤器，可使煤灰减少98%25之多。
- According to the key technique influencing the particle filter, a Gassian mixture particle filter for non-rigid object tracking is presented. 针对影响粒子滤波算法性能的关键技术，提出了基于混合高斯模型的粒子滤波算法，并将其用于基于颜色的非刚性目标的实时跟踪相关问题。
- To improve the passive tracking performance of 2D maneuvering target, a new constraint particle filter (CPF) is proposed. 摘要为提高约束条件下的二维机动目标被动跟踪性能，提出了一种约束下的粒子滤波方法(CPF)。
- According to the key technique influencing the particle filter,a Gassian mixture particle filter for non-rigid object tracking is presented. 针对影响粒子滤波算法性能的关键技术,提出了基于混合高斯模型的粒子滤波算法,并将其用于基于颜色的非刚性目标的实时跟踪相关问题。
- The particle filter can deal with nonlinear/non-Guassian problems and it has been introduced to the algorithm of IMM for higher precision. 粒子滤波能够处理非线性/非高斯问题，其与交互式多模型结合用来获得更好的跟踪性能。
