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Description: In 1 960 , R . E . Kalman published his famous paper describing a recursive solution to the discrete
data linear filtering problem [ Kalman6O ] . Since that time , due in large part to advances in
computing , the Kaloanfilter has been the subject ofextensiveresearchandapplication , particularly in the area of autonomous or assisted navigation . A very \" friendly , , introduction
general idea oftheKalmanfiltercanbefoundinChapterlof [ Maybeck79 ] , whileamorecomplete introductory discussion can be found in [ Sorenson7O ] , which also contains some interesting historical narrative . More extensive references include [ Gelb74 Grewal93 Maybeck79 Lewis86
Brown92 Jacobs93 ] . The Process to be Estimated-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete data li near filtering problem [Kalman6O]. Since that time, due in large part to advances in computing, the Kaloanfilter has been the subject ofextens iveresearchandapplication. particularly in the area of autonomous or Assis ted navigation. A very "friendly, and introduction general idea oftheKalmanfilter canbefoundinChapterlof [Maybeck79] whileamorecomplete introductory discussion can be found in [Sorenson7O] which also contains some interesting historic al narrative. More extensive references inclu de [Gelb74 Grewal93 Maybeck79 Lewis86 Brown92 Jacobs93]. The Process to be Estimated
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Author: 刘学 |
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Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution
to the discrete-data linear filtering problem. Since that time, due in large part to advances
in digital computing, the Kalman filter has been the subject of extensive research
and application, particularly in the area of autonomous or assisted
navigation.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation.
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Size: 1418 |
Author: 上将 |
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Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.
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Size: 243985 |
Author: 上将 |
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Description: In 1 960 , R . E . Kalman published his famous paper describing a recursive solution to the discrete
data linear filtering problem [ Kalman6O ] . Since that time , due in large part to advances in
computing , the Kaloanfilter has been the subject ofextensiveresearchandapplication , particularly in the area of autonomous or assisted navigation . A very " friendly , , introduction
general idea oftheKalmanfiltercanbefoundinChapterlof [ Maybeck79 ] , whileamorecomplete introductory discussion can be found in [ Sorenson7O ] , which also contains some interesting historical narrative . More extensive references include [ Gelb74 Grewal93 Maybeck79 Lewis86
Brown92 Jacobs93 ] . The Process to be Estimated-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete data li near filtering problem [Kalman6O]. Since that time, due in large part to advances in computing, the Kaloanfilter has been the subject ofextens iveresearchandapplication. particularly in the area of autonomous or Assis ted navigation. A very "friendly, and introduction general idea oftheKalmanfilter canbefoundinChapterlof [Maybeck79] whileamorecomplete introductory discussion can be found in [Sorenson7O] which also contains some interesting historic al narrative. More extensive references inclu de [Gelb74 Grewal93 Maybeck79 Lewis86 Brown92 Jacobs93]. The Process to be Estimated
Platform: |
Size: 3463168 |
Author: 刘学 |
Hits:
Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution
to the discrete-data linear filtering problem. Since that time, due in large part to advances
in digital computing, the Kalman filter has been the subject of extensive research
and application, particularly in the area of autonomous or assisted
navigation.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation.
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Size: 1024 |
Author: 上将 |
Hits:
Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.
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Size: 243712 |
Author: 上将 |
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Description: A method to improve the alignment performance for GPSIMU System
组合导航对准的文章 国外最新-A method to improve the alignment performance for GPSIMU System navigation of the article abroad at the latest
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Size: 306176 |
Author: 冯起 |
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Description: 捷联惯导四元数转换误差分析捷联惯导算法方面学习资料-SINS quaternion conversion error analysis strapdown inertial navigation algorithm for learning information
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Size: 135168 |
Author: zhanghui |
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Description: Missing file from "Global Positioning Systems, Inertial Navigation, and Integration" by Mohinder S Grewal, Lawrence R Weill, and Angus P Andrews
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Size: 3072 |
Author: Sal |
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Description: Missing file from "Global Positioning Systems, Inertial Navigation, and Integration" by Mohinder S Grewal, Lawrence R Weill, and Angus P Andrews
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Size: 271360 |
Author: Sal |
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Description: 基于GPS和GSM的航标监控系统毕业设计论文-GSM-based GPS and beacon monitoring system Thesis
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Size: 2259968 |
Author: 乐平发 |
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Description: 一个GPS课程的全部代码，含有数据！很实用-MATLAB GPS SCRIPTS-- Charles Meertens and Doug Miller, U. Utah 3Jan95
These scripts were developed for/during a class in GPS and Active Tectonics
Department of Geology and Geophysics, U. Utah, Spring, 1994
EXAMPLE RINEX Files (the only ones guaranteed to work this release)
CUR10911.94N
CUR10911.94O
PAR10910.94N
PAR10910.94O
Main Program scripts:
gpshora.m -- function to calculate Modified Julian Day, Homework#1
HW2.m -- Homework#2 read RINEX observation file and plot C/A code vrs. time
HW3_plt.m-- Homework#3 read RINEX navigation file, plot satellite positions
HW3_3dplt.m-- Same as HW3_plt.m, but 3d position plots
HW4.m-- Homework#4 calculate and plot station position as function of time
Functions called:
calc_nav.m-- calculate satellite position
calc_pos1.m-- calculate station position
constants.m-- GPS constants
coords.m-- convert x,y,z coordinates to lat, long, height
date2j.m-- calculate MDJ
eccenr.m-- calculate "E" anomally
read_nav.m-- Read RINEX Nav file
r
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Size: 816128 |
Author: 王楠 |
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Description: Thoughtworks公司面试题——MARS ROVERS问题火星探测器 C# 实现 VS2010工程，带界面展示！
一小队机器人探测器将由NASA送上火星高原，探测器将在这个奇特的矩形高原上行驶。
用它们携带的照相机将周围的全景地势图发回到地球。每个探测器的方向和位置将由一个x,y系坐标图和一个表示地理方向的字母表示出来。为了方便导航，平原将被划分为网格状。位置坐标示例：0，0，N，表示探测器在坐标图的左下角，且面朝北方。为控制探测器，NASA会传送一串简单的字母。可能传送的字母为： L , R 和 M 。 L ,和 R 分别表示使探测器向左、向右旋转90度，但不离开他所在地点。 M 表示向前开进一个网格的距离，且保持方向不变。假设以广场（高原）的直北方向为y轴的指向。
输入：首先输入的line是坐标图的右上方，假定左下方顶点的坐标为0，0。剩下的要输入的是被分布好的探测器的信息。每个探测器需要输入wo lines。第一条line 提供探测器的位置，第二条是关于这个探测器怎样进行高原探测的一系列说明。位置是由两个整数和一个区分方向的字母组成，对应了探测器的（x,y）坐标和方向。每个探测器的移动将按序完成，即后一个探测器不能在前一个探测器完成移动之前开始移动。-he Thoughtworks Company interview questions- MARS ROVERS Mars probe C# VS2010 project with interface shows!
The robot detector by a small team of NASA Mars plateau, the detector will be traveling on this strange rectangular plateau.
They carry the camera panoramic views of the surrounding terrain Figure is sent back to Earth. The direction and position of each of the detectors by an x, y-based coordinate diagram, and a representation of the geographical direction of letters represented. In order to facilitate navigation, the plains will be divided into a grid-like. Sample location coordinates: 0,0 N detectors in the lower left corner of the plot, and facing north. Control detectors, NASA will send a bunch of letters. The letters may be sent to: L , R and M . L , R , respectively, so that the detector rotated 90 degrees to the left, right, but does not leave his location. M is moved into a grid distance forward and changing the orientation. Assuming Square (plateau) straig
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Size: 54272 |
Author: wanghu |
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Description: Besides the size and shape of antenna arrays, the correlation
between multipath components and a desired signal restricts the
use of array processing techniques for Global Navigation Satellite
System (GNSS) multipath mitigation. A new method, based on a
moving antenna array, to synthesize a larger array and increase
its degree of freedom is proposed. Furthermore, a spatial filter is
applied to this synthesized array to prevent the signal cancellation
phenomenon and mitigate the multipath components.
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Size: 1073152 |
Author: jorgehas |
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Description: SSH是struts+spring+hibernate集成的web应用程序开源框架。
Struts：用来控制的，核心控制器是Controller。
Spring：对Struts和Hibernate进行管理，整合的。
Hiernate：操控数据库
struts标签库：Struts2默认的表达式语言是OGNL(Object-Graph Navigation Language)，通过它可以存取对象的任意属性、调用对象的方法、遍历整个对象的结构图、实现字段类型转换等功能。
JSP: HTML文件中插入Java程序段和JSP标记。
web.xml: Struts2核心过滤器和监听器
struts.xml: 管理应用中的Action映射，及Action处理结果和物理资源之间的映射。
applicationContext.xml: 整合了struts和Hibernate。
*.hbm.xml:O/R Mapping(Object Relational Mapping)映射文件，实体和表的映射关系通过XML来描述的文件。在项目启动的时候加载到内存中。
PO：Persistent Object，持久化对象
整体的调用关系：JSP–Action–Service–DAO–PO–数据库(SSH is an open source framework for struts+spring+hibernate integrated web applications.
Struts: the core controller is Controller for control.
Spring: Struts and Hibernate are managed and integrated.
Hiernate: manipulate the database)
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Size: 31496192 |
Author: 饿地方人大 |
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