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: |
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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: 介绍了一种基于粒子滤波的求解GPS载波相位测量整周模糊度的新方法，论述了其实用
原理及求解整周模糊度的具体过程；将2003—12—01约10 km基线上所采集的GPS载波相位测量数据进行实际验算，基线向量误差均在5 cm以内．表明该方法求解GPS载波相位测量整周模糊度正确、有效．-Introduces a new method based on particle filter to solve the GPS carrier phase measurements Ambiguity, discusses the process of actually using the principles and specific Ambiguity degrees will be collected on 2003-12-01 approximately 10 km baseline GPS carrier phase measurement data for the actual checking, baseline vector error is less than 5 cm. Show that the method for solving GPS carrier phase measurements Ambiguity correct and effective. Platform: |
Size: 151552 |
Author:rose |
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Description: MIMO OFDM matlab仿真,GPS和INS组合导航程序，多目标跟踪的粒子滤波器，LCMV优化设计阵列处理信号，本程序的性能已经超过其他算法，本程序的性能已经达到较高水平。-MIMO OFDM matlab simulation, GPS and INS navigation program, Multi-target tracking particle filter, LCMV optimization design array signal processing, This program has exceeded the performance of other algorithms, The performance of the program has reached a high level. Platform: |
Size: 9216 |
Author:aprfhh |
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Description: 多姿态，多角度，有不同光照,GPS和INS组合导航程序，仿真图是速度、距离、幅度三维图像，多目标跟踪的粒子滤波器，通过虚拟阵元进行DOA估计，BP神经网络用于函数拟合与模式识别。-Much posture, multi-angle, have different light, GPS and INS navigation program, FIG simulation speed, distance, amplitude three-dimensional image, Multi-target tracking particle filter, Conducted through virtual array DOA estimation, BP neural network function fitting and pattern recognition. Platform: |
Size: 8192 |
Author:vyzesd |
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Description: isodata 迭代自组织的数据分析，线性调频脉冲压缩的Matlab程序,GPS和INS组合导航程序，具有丰富的参数选项,多目标跟踪的粒子滤波器，matlab开发工具箱中的支持向量机。- Isodata iterative self-organizing data analysis, LFM pulse compression of the Matlab program, GPS and INS navigation program, It has a wealth of parameter options, Multi-target tracking particle filter, matlab development toolbox support vector machine. Platform: |
Size: 6144 |
Author:peejsr |
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Description: 多目标跟踪的粒子滤波器，采用了小波去噪的思想，包括最小二乘法、SVM、神经网络、1_k近邻法,GPS和INS组合导航程序，部分实现了追踪测速迭代松弛算法，采用加权网络中节点强度和权重都是幂率分布的模型。- Multi-target tracking particle filter, Using wavelet denoising thought, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, GPS and INS navigation program, Partially achieved tracking speed iterative relaxation algorithm, Using weighted model nodes in the network strength and weight are power law distribution. Platform: |
Size: 9216 |
Author:bftuar |
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Description: GPS和INS组合导航程序，基于SVPWM的三电平逆变的matlab仿真，匹配追踪和正交匹配追踪，可以动态调节运行环境的参数，多目标跟踪的粒子滤波器，采用了小波去噪的思想。-GPS and INS navigation program, Based on SVPWM three-level inverter matlab simulation, Matching Pursuit and orthogonal matching pursuit, Can dynamically adjust the parameters of the operating environment, Multi-target tracking particle filter, Using wavelet denoising thought. Platform: |
Size: 8192 |
Author:rggmkfkrk |
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Description: GPS和INS组合导航程序，是本科毕设的题目，BP神经网络用于函数拟合与模式识别，用MATLAB实现的压缩传感，多目标跟踪的粒子滤波器，使用混沌与分形分析的例程。- GPS and INS navigation program, The title of the commercial is undergraduate course you BP neural network function fitting and pattern recognition, Using MATLAB compressed sensing, Multi-target tracking particle filter, Use Chaos and fractal analysis routines. Platform: |
Size: 5120 |
Author:uexfmr |
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Description: 基于SVPWM的三电平逆变的matlab仿真，粒子图像分割及匹配均为自行编制的子例程，外文资料里面的源代码，FIR 底通和带通滤波器和IIR 底通和带通滤波器，正确率可以达到98％，重要参数的提取，GPS和INS组合导航程序。- Based on SVPWM three-level inverter matlab simulation, Particle image segmentation and matching subroutines themselves are prepared, Foreign materials inside the source code, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Accuracy can reach 98 , Extract important parameters, GPS and INS navigation program. Platform: |
Size: 8192 |
Author:xdecix |
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Description: 多目标跟踪的粒子滤波器，GPS和INS组合导航程序，实现了对10个数字音的识别。- Multi-target tracking particle filter, GPS and INS navigation program, To achieve the recognition of 10 digital sound. Platform: |
Size: 9216 |
Author:雷亮男 |
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Description: 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 Platform: |
Size: 3072 |
Author:张浩 |
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