Description: 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/GPS组合导航，系统地研究了初始对准和惯性/GPS组合导航中各种非线性项-Engineering PhD thesis Currently, EKF is the initial alignment study and inertial / GPS navigation of a major means. However, initial alignment and inertial / GPS navigation on the nature of the problem is nonlinear. on the model of linear expansion of the Kalman filter certain extent affected the performance of the system. In recent years, direct use of the non-linear model (UKF Unscented Kalman Filtering. UKF) and the particle filter, is gradually becoming nonlinear estimation of the hot and effective method. This paper studies the UKF and particle filter both nonlinear filtering method, will be applied to nonlinear static Base Alignment and inertial / GPS navigation, systematic study of initial alignment and inertial / GPS navigation various nonlinear term Platform: |
Size: 5070259 |
Author:daniel |
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Description: 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/GPS组合导航，系统地研究了初始对准和惯性/GPS组合导航中各种非线性项-Engineering PhD thesis Currently, EKF is the initial alignment study and inertial/GPS navigation of a major means. However, initial alignment and inertial/GPS navigation on the nature of the problem is nonlinear. on the model of linear expansion of the Kalman filter certain extent affected the performance of the system. In recent years, direct use of the non-linear model (UKF Unscented Kalman Filtering. UKF) and the particle filter, is gradually becoming nonlinear estimation of the hot and effective method. This paper studies the UKF and particle filter both nonlinear filtering method, will be applied to nonlinear static Base Alignment and inertial/GPS navigation, systematic study of initial alignment and inertial/GPS navigation various nonlinear term Platform: |
Size: 5069824 |
Author:daniel |
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Description: 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。-The title of this article is to improve the particle filter in the navigation of the applied research. CAJ can be used to open the document. This issue initially on the GPS/DR Vehicle Location System portfolio model, and then the analysis of nonlinear filtering based on the introduction of a particle filter. Particle filter is a recursive calculation based on Sequential Monte Carlo algorithm, it uses a set of probability density function from random samples and weights attached to the relevant set of particles to approximate a posteriori probability density, and thus not subject to non-linear, the issue of non-Gaussian constraints. Although there are many advantages of particle filter, yet it still exists, such as particle number Punic poor, filter performance is not high, real-time poor. Platform: |
Size: 5165056 |
Author:阳关 |
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Description: 本程序设计了DR定位导航，并采用Kalman滤波进行精度优化。仿真结果理想。-This procedure is designed DR positioning navigation, and the use of Kalman filtering to optimize accuracy. Simulation results are satisfactory. Platform: |
Size: 7168 |
Author:wuling |
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Description: 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. Platform: |
Size: 461824 |
Author:陈秀 |
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Description: 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 Platform: |
Size: 1983488 |
Author:chenjing |
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Description: 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 Platform: |
Size: 16384 |
Author:yuanjg |
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Description: BPF算法（回溯粒子滤波），还包括判断粒子是否有效的子函数，以及其中用到的判断两条直线是否相交的函数（用来判断轨迹是否与墙壁相交）。-
three particle filter algorithms(SIR,ASIR and BPF) for indoor pedestrian navigation.Also include a function for particle validation detection and a function to check if two lines intersect with each other or not. Platform: |
Size: 10240 |
Author:江一夫 |
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Description: 粒子滤波在捷联惯导系统非线性对准中的应用-Particle filter in the linear Alignment of Strapdown Inertial Navigation System Platform: |
Size: 134144 |
Author:green |
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Description: 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. Platform: |
Size: 7168 |
Author:Dennis |
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Description: 上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.-Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm. Platform: |
Size: 265216 |
Author:宁小磊 |
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Description: 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 program implements a moving target based on particle filter tracking. Platform: |
Size: 22528 |
Author:panjing9453 |
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