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- A neural network(NN) controller based on Particle Filter(PF) is designed to linearize the slow system and make the rigid motion track a desired trajectory. 设计了基于粒子滤波的神经网络控制器来线性化慢子系统,使其跟踪期望轨迹。
- A neural network (NN) controller based on Particle Filter (PF) is designed to linearize the slow system and make the rigid motion track a desired trajectory. 设计了基于粒子滤波的神经网络控制器来线性化慢子系统,使其跟踪期望轨迹;
- The degeneracy problem of particle filter (PF) is overcome to some extent.Simulation results indicate that PF has higher precision than IMM in the application of maneuver target tracking. 仿真结果表明,采用PF跟踪机动目标,其跟踪精度要高于IMM,说明PF具有较强的处理非线性系统的能力;
- 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。
- Unscented particle filtering algorithm using minimal skew sampling[J]. 引用该论文 刘贵喜;马涛;陈石磊.
- 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。
- Firstly, the covariance of targets is calculated by the method of particle filtering. 该方法首先利用粒子滤波计算目标的协方差;
- To improve the performance of passive tracking for maneuvering target in clutter,a new particle filtering algorithm for passive tracking is proposed. 为提高杂波条件下的机动目标被动跟踪的性能,提出了一种新的粒子滤波目标被动跟踪算法。
- Data fusion of SINS/GPS integrated navigation system is realized using the Gaussian particle filter (GPF) and a direct filtering model. 摘要利用高斯粒子滤波技术和直接滤波模型实现了SINS/GPS组合导航系统的数据融合。
- 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。
- A multiple model particle filter algorithm is presented in this paper for the maneuvering weak target which dynamics is complicated. 该文针对目标作复杂运动的情况,提出了机动弱目标检测前跟踪的多模粒子滤波算法。