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nonlinearfilter
- 工学博士学位论文 目前，扩展卡尔曼滤波是研究初始对准和惯性/GPS组合导航问题的一个主要手段。 但初始对准和惯性/GPS组合导航问题本质上是非线性的，对模型进行线性化的扩展卡 尔曼滤波在一定程度上影响了系统的性能。近年来，直接使用非线性模型的 UKF(Unscented Kalman Filtering, UKF)和粒子滤波，正在逐渐成为研究非线性估计问题 的热点和有效方法。 本文研究了UKF和粒子滤波两种非线性滤波方法，并将其应用于非线性静基座对 准和惯性
Mobile__obots
- 机器人导航程序，其中包括粒子滤波，扩展卡尔曼滤波的实现代码。-robot navigation procedures, including the particle filter, extended Kalman Filter codes.
TheApplicationResearchofImprovedParticleFilterAlgo
- 本文的题目是改进的粒子滤波在组合导航中的应用研究。文档可用caj打开。 本课题首先研究了GPS/DR车载定位系统的组合模型，然后在分析了非线性滤波的基础上，引入了粒子滤波。粒子滤波是一种基于递推计算的序列蒙特卡罗算法，它采用一组从概率密度函数上随机抽取的并附带相关权值的粒子集来逼近后验概率密度，从而不受非线性、非高斯问题的限制。虽然粒子滤波存在诸多优点，然而它仍然存在诸如粒子数匿乏、滤波性能不高、实时性差等问题。
Optimal_nonlinear_Filtering_in
- 将粒子滤波成功应用到GPS_INS组合导航中的例子，很详细。对于研究和学习组合导航以及滤波的人上手都很有帮助。,A paper in which the particle filtering is succefully derived, with many details as well. It is very useful to those who are at the beginning at researching or studying.
lizilvbo
- 改进粒子滤波算法在组合导航中的应用--论文-Particle filter to improve navigation at the application
zishiying
- 自适应粒子滤波在卫星紫外导航中的应用--论文-Adaptive particle filter in the satellite navigation application of UV- Thesis
NonlinearBayesianfilteringwithapplicationstoestima
- 非线性贝叶斯过滤与应用估算和导航，非常不错的粒子滤波英文论文-Nonlinear Bayesian filtering with applications to estimation and navigation
pf_nav
- 本文件采用Matlab软件，通过粒子滤波实现地形辅助导航算法。-This document is the use of Matlab software, to achieve through the particle filter algorithm for terrain-aided navigation.
sppf
- 粒子滤波算法:Sigma-Point Particle Filter 算法（SPPF）用于非线性滤波估计问题，例如：导航，定位，跟踪等等应用-Particle filter algorithm: Sigma-Point Particle Filter algorithm (SPPF) estimation problem for nonlinear filtering, such as: navigation, positioning, tracking, and so on,for appli
CodeFiltrageParticulaire
- 粒子滤波器在机器人导航中的成功应用，扩展卡尔曼滤波器。-Particle filter in robot navigation in the successful application of extended Kalman filter.
1528963
- 基于粒子滤波算法的移动机器人导航定位研究的硕士论文-Based on particle filter for mobile robot navigation research master' s thesis
Particle
- 一个使用粒子滤波的方法进行导航定位的Matlab程序-A method using particle filter in the Matlab program navigation
RBPF
- 基本的RBPF粒子滤波源程序，能够用于目标跟踪及导航领域，适用于初学者使用-RBPF basic particle filter source, can be used for target tracking and navigation areas for beginners
pf_samples
- 粒子滤波典型程序，包括多种重采样方法，可用于导航制导、目标跟踪和图像处理。-Particle filter typical procedure, including resampling method can be used for navigation guidance, target tracking and image processing.
ParticleFilter
- 粒子滤波（Particle Filtering）是基于贝叶斯估计的一种估计算法，在制导，导航，通信，金融中用着广泛应用。该程序实现了基于粒子滤波方法的动目标跟踪。-Particle Filter (Particle Filtering) is an estimate based on Bayesian estimation algorithm, using the widely used in guidance, navigation, communications, finance. The
PF1
- 粒子滤波在导航上的应用，含有注释和说明，有利于明白粒子滤波的原理-Particle Filter in the navigation on the
Optimal-State-Estimation-Kalman
- 本程序是有关粒子滤波，及其其在组合导航中的应用有关程序，可以仿真-This procedure is related to the particle filter, and its application in integrated navigation procedures, you can emulate
GPSDRUKF_PF
- 一种GPS与DR组合导航的信息融合技术，融合算法采用粒子滤波和无损卡尔曼滤波，效果明显-An information fusion technology of GPS and DR integrated navigation, the fusion algorithm adopts particle filter and lossless Kalman filter, the effect is obvious
Belief-Condensation-Filtering-
- 自主导航系统中以卡尔曼滤波算法及其衍生算 法如扩展卡尔曼滤波、无迹卡尔 曼滤波、容积卡尔曼滤波 、鲁棒滤波或粒子滤波 等为信息处理的核心。-Autonomous navigation system with kalman filter algorithm and its derivatives Method such as extended kalman filtering, no trace, Carl Kalman filter, filtering, volume