Description: The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial
and nancial problems. Although the Kalman lter is effective in the linear-Gaussian
case, new methods of dealing with sequential data are required with non-standard models.
Recently, there has been renewed interest in simulation-based techniques. The basic idea behind
these techniques is that the current state of knowledge is encapsulated in a representative
sample from the appropriate posterior distribution. As time goes on, the sample evolves and
adapts recursively in accordance with newly acquired data. We give a critical review of recent
developments, by reference to oil well monitoring, ion channel monitoring and tracking
problems, and propose some alternative algorithms that avoid the weaknesses of the current
methods. Platform: |
Size: 419574 |
Author:阳关 |
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Description: 此程序实现的是对一幅图像进行卡尔曼滤波实现多天线时变信道下基于卡尔曼滤波跟踪的数字图像通信系统仿真-Realize this procedure is the image of a Kalman filter to achieve multi-antenna time-varying channel tracking based on Kalman filtering of digital image communication system simulation Platform: |
Size: 46080 |
Author:袁辉 |
Hits:
Description: The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial
and nancial problems. Although the Kalman lter is effective in the linear-Gaussian
case, new methods of dealing with sequential data are required with non-standard models.
Recently, there has been renewed interest in simulation-based techniques. The basic idea behind
these techniques is that the current state of knowledge is encapsulated in a representative
sample from the appropriate posterior distribution. As time goes on, the sample evolves and
adapts recursively in accordance with newly acquired data. We give a critical review of recent
developments, by reference to oil well monitoring, ion channel monitoring and tracking
problems, and propose some alternative algorithms that avoid the weaknesses of the current
methods. Platform: |
Size: 419840 |
Author:阳关 |
Hits:
Description: Nonstationary Channel Estimation
using a Kalman Tracking Filter
卡尔曼滤波算法的一个一个用，可用作 efk学习之用-Nonstationary Channel Estimation using a Kalman Tracking Filter Kalman filter algorithm one by one, and can be used as a learning efk Platform: |
Size: 164864 |
Author:jerial |
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Description: 代码实现了基于卡尔曼滤波算法的信号估计，该算法有很好的跟踪能力，能用于信道事变的情况-Code based on the Kalman filter algorithm estimates the signal, the algorithm has good tracking ability can be used in case of channel events Platform: |
Size: 1024 |
Author:张飞 |
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Description: 很好的GPS/INS超紧组合导航的文章，关键词：GPS,INS，超紧组合导航，抗干扰-The performance of an Ultra-Tightly Coupled
(UTC) Global Positioning System/Inertial Navigation System
(GPS/INS) is evaluated using a system simulation of the GPS
receiver and navigation processing. The UTC system being
analyzed uses a bank of pre-filters to estimate code delay error
and Doppler frequency error for each satellite. These outputs are
sent to a central Kalman navigation filter. This central processor
generates estimates of inertial navigation position, velocity, and
attitude errors IMU biases and user clock errors, which are
used to correct the navigation solution. In the UTC approach,
outputs from the central navigation processor, after projection
into satellite line-of-sight coordinates, are used to control the
code and carrier replica signals for each satellite channel. In
contrast, a conventional tightly coupled GPS/INS system uses
separate tracking loops for each satellite channel, which operate
autonomously. As a result, the UTC desig Platform: |
Size: 461824 |
Author:lili |
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Search - kalman channel tracking