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The simple regularized particle filter can overcome this phenomenon, and simulations show that this algorithm can shorten the time of location and improve the precision. 通过计算机仿真表明，这种简单的正则粒子滤波能有效缩短定位时间，提高定位精度。
regularized particle filtering 正则粒子滤波
regularized particle filter 正则粒子滤波
To overcome the sample impoverishment problem of particle filter, the observation vector of H infinity filter is regularized. 为解决粒子滤波的“采样枯竭”问题，正则化了H无穷粒子滤波器的观测矢量。
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。
It is compared with the regular particle swarm optimizer(PSO) invented by Kennedy and Eberhart in 1995 based on four different benchmark functions. 基于4个不同的基准函数对所提算法与1995年Kennedy和Eberhart提出的常规PSO作了比较。
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)。
In this paper numerical simulation was used on investigating the matrix yielding initiation and expansion of polymer blends which has a continuous single phase and a regular particles shape. 进行了分散相颗粒形状较规则的单相连续两相共混物细观结构参量对共混物基体屈服的产生和屈服区扩展规律影响的研究。
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。